https://www.europesays.com/3320195/ Why teaching AI about symmetry could make prenatal diagnosis more reliable | MIT News #AI #AIInMedicine #ArtificialIntelligence #BostonChildren'sHospital #E(3)Pose #ElfarAdalsteinsson #FetalDevelopment #FetalHealth #FetalImaging #MedicalImaging #MITCollegeOfComputing #MITCSAIL #MITJameelClinic #MITTakedaProgram #MRIScans #NIHFunding #PolinaGolland #RamyaMuthukrishnan #Women'sHealth
#aiinmedicine — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aiinmedicine, aggregated by home.social.
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DATE: October 2, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: The right side of the brain shows more signs of aging than the left, new study suggests
A recent study published in PNAS introduces a new artificial intelligence approach to map how different regions of the human brain age. By analyzing MRI scans in fine detail, the research provides evidence that aging does not happen evenly across the brain, with certain areas showing more advanced biological age in individuals with Alzheimer’s disease.
Doctors and scientists use Magnetic Resonance Imaging (MRI), a technique that uses strong magnetic fields to create detailed images of the body’s internal structures, to estimate a person’s “brain age.” This metric tells us whether a person’s brain looks older or younger than their actual chronological age. An older-looking brain is often a risk factor for cognitive decline and neurodegenerative conditions.
Usually, researchers calculate a single, global brain age. But the human brain is a complex organ made of distinct regions, each handling different tasks. For instance, the frontal lobe is involved in complex decision-making, and the hippocampus plays a role in memory. Because these regions perform differently, they also tend to age at different rates. A single brain age score can hide these regional differences, making it harder to detect early signs of localized damage.
“Our earlier work focused on global brain age, where AI estimates how old a person’s brain appears from an MRI,” study author Andrei Irimia, an associate professor of gerontology at the USC Leonard Davis School of Gerontology, told PsyPost. “That provides a useful summary, but it reduces the entire brain to a single number, making the result difficult to interpret biologically.”
“We therefore developed local brain age, which asks not only ‘How old does this brain look?’ but ‘How old does each part of this brain look?'” Irimia explained. “The resulting model transforms a structural MRI into a spatial map of local brain age.”
The research, led by Nikhil N. Chaudhari with Irimia and colleagues at the Irimia Lab, aimed to create a more detailed map of brain aging. The authors wanted to measure biological aging at a fine-grained level, breaking the brain down into tiny three-dimensional pixels called voxels. By doing this, they hoped to pinpoint exactly where the brain is aging the fastest and how these specific regional changes relate to cognitive decline.
To build their localized map of brain aging, the scientists trained a deep learning computer model using MRI scans from 14,748 cognitively healthy adults ranging in age from 19 to 100. “Scale and interpretability were important aspects of the project,” Irimia noted. “We trained the model using 14,748 cognitively normal participants from multiple imaging cohorts, exposing it to substantial variation in age, anatomy, and imaging data.”
“Our goal was not simply to produce an AI model with good predictive accuracy, but to generate an output that neuroscientists can map directly back onto brain anatomy,” he said. “In that sense, local brain age is intended to provide a bridge between AI-based prediction and questions about the biology of human aging.”
After training the system, the research team tested it on a separate group of 1,985 individuals from the Alzheimer’s Disease Neuroimaging Initiative. This testing group included 1,102 adults with normal cognitive function, 354 with mild cognitive impairment, and 529 with Alzheimer’s disease.
When observing the cognitively healthy adults, the model’s estimates were off by about 5.9 years on average. It identified a distinct pattern of aging across the brain. The frontal and temporal lobes, which are heavily involved in higher-level thinking and memory, exhibited a more advanced biological age compared to regions at the back of the brain, such as the visual processing centers in the occipital lobe.
The researchers also looked closely at the brain’s folded outer layer, the cerebral cortex. They found that the sulci, which are the deep grooves between the folds, appeared biologically older than the gyri, the outward-facing ridges of the folds. On average, the local brain age gap (the difference between the estimated biological age and the person’s actual chronological age) was 0.40 years higher in the sulci. The team also observed that the right hemisphere of the brain generally showed an older biological age than the left hemisphere, a pattern that persisted when the researchers retrained the model on a sample balanced between left- and right-handed people.
“The left–right asymmetry was particularly interesting,” Irimia told PsyPost. “The model estimated systematically higher local brain ages in the right hemisphere than in the left, and this difference remained when we investigated whether handedness in the training data could account for it. We do not yet know what produces this asymmetry, but it raises an interesting question about whether structural aging may differ between the two hemispheres.”
When comparing the groups, the researchers found that patients with Alzheimer’s disease and mild cognitive impairment had older local brain ages in specific regions known to be affected early in neurodegeneration. In Alzheimer’s patients, subcortical structures like the pallidum and putamen, which help regulate movement and some types of learning, showed brain age gaps about 3.5 to 3.6 years larger than those of cognitively healthy adults. The hippocampus, a seahorse-shaped structure important for forming new memories, appeared more than three years older on average in the Alzheimer’s group compared to the healthy adults.
“The main message is that the brain does not appear to age uniformly,” Irimia said. “Different regions can exhibit different aging patterns within the same person, and these regional differences become more pronounced in cognitive impairment. This gives us a way to move beyond a single estimate of overall brain age and investigate where aging-related structural differences occur.”
The team also analyzed how these localized aging gaps related to performance on cognitive tests. In patients with Alzheimer’s disease, having an older local brain age in regions like the right pallidum strongly correlated with worse scores on general cognitive screening tests and a measure of everyday functioning. These associations were much weaker in people with mild cognitive impairment and largely absent in healthy adults.
The findings are in line with research covered by PsyPost in May 2026, which demonstrated that mapping regional structural changes across the brain with MRI can track neurodegeneration across the progression from healthy aging to Alzheimer’s disease. The new study differs slightly in its approach. The previous research compared scans to an established Alzheimer’s structural vulnerability blueprint, whereas the current model estimates localized biological brain aging at the voxel level without relying on a pre-existing disease map.
As with all research, there are a few things to keep in mind. The artificial intelligence model was trained using research-grade MRI scans, which are typically much higher quality than the standard scans taken in everyday clinical settings. It is unknown if the system would perform as accurately on the lower-resolution images typically produced by hospital equipment.
Because of this and other factors, the tool is not yet ready for everyday medical use. “I would view local brain age primarily as a research tool at this stage rather than a clinical test,” Irimia noted. “Its importance is that it provides spatial information that is lost when brain aging is summarized with a single number. The next question is whether these regional patterns can eventually help us understand differences in cognitive aging or predict clinically meaningful trajectories, which will require further longitudinal validation.”
Additionally, the model was trained exclusively on the brains of cognitively healthy adults. The researchers suggest that future versions of the software might benefit from training on the brains of individuals diagnosed with Alzheimer’s disease. Including those cases could help the system become more sensitive to specific disease-related changes.
Finally, the study analyzed images captured at a single point in time, with limited follow-up data. Because of this, it is not possible to say whether having an older local brain age directly predicts that a healthy individual will eventually develop cognitive impairment. Tracking individuals over many years with repeated scans is a necessary next step to determine if these local age gaps can serve as an early warning system for dementia.
Irimia echoed this caution against overinterpreting a single scan. “An ‘older’ local brain age does not by itself mean that someone has Alzheimer’s disease or will develop it,” he clarified. “The method identifies structural MRI patterns associated with aging; determining whether it can predict an individual’s future disease trajectory will require longitudinal validation. The longitudinal examples in this study are encouraging, but we regard them as supportive rather than definitive validation.”
Looking forward, the team hopes to uncover the root causes of these regional differences. “A major next step is understanding what local brain age represents biologically,” Irimia told PsyPost. “We want to relate these spatial aging patterns to vascular and cardiovascular health, metabolic factors, lifestyle, and other biomarkers to understand why some regions appear to age faster than others. Longitudinal studies will be particularly important for determining whether changes in local brain age can track aging trajectories and identify factors associated with healthier brain aging.”
The study, “Deep learning maps local brain aging in relation to cognition across human adulthood,” was authored by Nikhil N. Chaudhari, Owen M. Vega Huerta, Samayan Bhattacharya, Nahian F. Chowdhury, Andrei Irimia, and the Alzheimer’s Disease Neuroimaging Initiative.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainAging #LocalBrainAge #MRIAnalysis #Neurodegeneration #AlzheimersResearch #BrainImaging #AgingBrain #CognitiveHealth #Neuroscience #AIinMedicine
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Generative AI in Medicine: A Review
🦾 AI automates biomedical tasks, enhancing efficiency.
🔢 Reduced data needs via smaller, specialized datasets.
👩🔬 New AI aids complex medical decision-making.
💼 Improves cost-efficiency in healthcare processes.
🌐 Foundation models expand AI capabilities in medicine.#GAI #AIinMedicine #LLM #Biomedicine #HealthcareInnovation #AI #DeepLearning https://tnyp.me/3sup6c6S/m
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"Generative AI in Medicine" sums advanced AI's impact on healthcare tasks.
✨ Efficiency: Reduced training data needs
⚙️ Models: Mixture-of-expert & reasoning enhance task-solving#GenerativeAI #HealthcareInnovation #AIinMedicine #MachineLearning https://dev.tnyp.me/z68EzL91/m
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Review of GAI's role in medicine:
🕰️ Quicker healthcare processes
🧠 Better LLM performance with fewer data
📈 Enhanced patient care using complex AI models -
𝗔𝗜 𝗶𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘄𝗲 𝗱𝗲𝘁𝗲𝗰𝘁 𝗱𝗶𝘀𝗲𝗮𝘀𝗲.
📍 Hamburg, Germany
📅 July 12–13, 2027🌐 healthcare.pagesconferences.org
📧 [email protected]#HealthAI2027 #AIHealthcare #PrecisionMedicine #MedicalImaging #AIinMedicine #DigitalPathology #HealthcareInnovation #medical_research
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Automated MR Imaging Aids New Stroke Therapy Development. A new automated MRI system developed by researchers at the USC-Keck School of Medicine makes experimental stroke treatments easier to evaluate. I#StrokeResearch #MRI #BrainHealth #MedicalResearch #AIinMedicine
https://www.instagram.com/p/DcWsUl8J3v5/ -
🤖 Dr. Bernhard Scheja on AI-assisted ultrasound image analysis: where machine learning genuinely helps sonographic diagnostics — and where clinical judgment still can't be replaced.
Trained in Switzerland, Bernhard Scheja explores AI's growing role in thyroid nodule assessment, echocardiography (automated ejection fraction), and vascular sonography.
#BernhardScheja #AIinMedicine #Ultrasound #POCUS #Sonography #DigitalHealth
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https://www.europesays.com/people/190602/ AI might cure most human diseases in next 5-10 years, Anthropic CEO predicts #AIBenefits #AICureMostDiseases #AIDiseaseCure #AiDrugDiscovery #AIFuture #AIHealthcare #AIInMedicine #AIMedicalResearch #AnthropicCEO #ArtificialIntelligenceHealthcare #DarioAmodei #DemisHassabis #GoogleDeepMind
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🚀🎩 Behold, a modern-day alchemist mixing potions in his sacred garage lab, claiming to cure Alzheimer's with AI magic! 🧪🤖 Because who needs years of medical research when you have a Twitter account and a basement? 😂 #ScienceRevolutionOrJustPretend
https://twitter.com/DouglasYaoDY/status/2070904914050797582 #ScienceRevolution #JustPretend #AIinMedicine #GarageLab #AlzheimersCure #HackerNews #ngated -
AI Could Save Thousands—So Why Is Healthcare Still Hitting the Brakes?
Imagine that the only way Americans traveled was on foot or on horseback. And assume that 100,000 people…
#UnitedStates #US #USA #AIinmedicine #america #chronicdiseasemanagementai #generativeaihealthcare #healthcareinnovationusa #medicalerrorsstatistics #publichealthpolicyai #science #technology #unitedstatesofamerica
https://www.europesays.com/3082133/ -
https://www.europesays.com/3082133/ AI Could Save Thousands—So Why Is Healthcare Still Hitting the Brakes? #AIInMedicine #america #ChronicDiseaseManagementAi #GenerativeAiHealthcare #HealthcareInnovationUsa #MedicalErrorsStatistics #PublicHealthPolicyAi #science #technology #UnitedStates #UnitedStatesOfAmerica #US #USA
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𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation #ClinicalAI
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @umn_infectiousdiseases @europe @czechrepublic @precisionmedicine @PennStateBiology @charlesuniprg @[email protected] @[email protected] @[email protected]
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Genomic Report Drafting Sees LLM Influence
LLMs are now used to help write genomic reports in London. This makes the process quicker for doctors and patients.
#GenomicReports, #LLMTech, #LondonHealth, #ScienceNews, #AIinMedicine
https://newsletter.tf/llm-helps-write-genomic-reports-london/
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Writing genomic reports with LLMs is now happening in London. This is a new way to get genetic information to people faster than before.
#GenomicReports, #LLMTech, #LondonHealth, #ScienceNews, #AIinMedicine
https://newsletter.tf/llm-helps-write-genomic-reports-london/ -
𝑯𝒆𝒂𝒕𝒉𝑨𝑰2026
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation #ClinicalAI
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @precisionmedicine @PennStateBiology @charlesuniprg
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63𝑫𝒂𝒚𝒔 𝑳𝒆𝒇𝒕 - 𝑯𝒆𝒂𝒕𝒉𝑨𝑰2026
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation #ClinicalAI
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @precisionmedicine @PennStateBiology @charlesuniprg
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70𝑫𝒂𝒚𝒔 𝑳𝒆𝒇𝒕 - 𝑯𝒆𝒂𝒕𝒉𝑨𝑰2026
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation #ClinicalAI
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @medical @precisionmedicine @PennStateBiology @charlesuniprg -
Обычно путь от лабораторного открытия до аптечного прилавка занимает **10–15 лет**, но история знает исключения, когда научный прорыв внедрялся в практику с невероятной скоростью.
Ниже приведены примеры самых быстрых «прыжков» из лаборатории в клинику:
### 1. Вакцины против COVID-19 (2020) — **~11 месяцев**
Это абсолютный рекорд в истории современной медицины.
* **Событие:** С момента публикации генетического кода вируса SARS-CoV-2 (январь 2020) до одобрения первой вакцины (декабрь 2020) прошло менее года.
* **Почему так быстро:** Использование готовых платформ мРНК, огромные инвестиции и совмещение фаз клинических испытаний.
### 2. Инсулин (1921–1922) — **~8 месяцев**
Один из самых драматичных и быстрых примеров спасения жизней.
* **Открытие:** Фредерик Бантинг и Чарльз Бест выделили инсулин летом 1921 года.
* **Внедрение:** Уже в январе 1922 года первую инъекцию получил 14-летний Леонард Томпсон, находившийся при смерти. Массовое производство началось практически сразу.
### 3. Пенициллин (во время Второй мировой войны) — **~3–4 года**
Хотя Александр Флеминг открыл его в 1928 году, вещество оставалось «лабораторным курьезом» более 10 лет.
* **Рывок:** В 1940 году группа Флори и Чейна доказала эффективность на мышах. К 1943–1944 годам, под давлением нужд фронта, США развернули промышленное производство, превратив научную статью в стандарт лечения инфекций за считанные годы.
### 4. Современные таргетные препараты (Осимертиниб) — **~2.7 года**
В сфере онкологии обычно всё очень долго, но препарат **Osimertinib** (для лечения рака легких) прошел путь от первых тестов на людях до одобрения FDA невероятно быстро.
* **Срок:** Первая фаза испытаний началась в марте 2013 года, а ускоренное одобрение было получено уже в ноябре 2015 года (всего **984 дня**).
### 5. Диэтиловый эфир (анестезия, 1846) — **несколько недель**
Пример того, как открытие распространялось до появления жесткого регулирования.
* **Событие:** 16 октября 1846 года Уильям Мортон публично продемонстрировал эфирный наркоз.
* **Внедрение:** Уже через несколько месяцев операции под наркозом начали проводить по всему миру, включая Европу и Российскую империю (Николай Пирогов применил его в полевых условиях уже в 1847 году).
### Что мешает делать это быстрее сегодня?
Сегодня средний срок в 12 лет обусловлен не медлительностью ученых, а **безопасностью**:
1. **Клинические фазы:** Проверка на токсичность, эффективность и отдаленные последствия.
2. **Регуляция:** Бюрократические фильтры (FDA, EMA), которые отсеивают до 90% кандидатов на стадии испытаний.
3. **«Долина смерти»:** Проблема финансирования этапа между лабораторным успехом и началом дорогих испытаний на людях.
**Будущее:** С применением **ИИ** (как в случае с антибиотиком *Halicin* или препаратом *DSP-1181*) этап поиска нужной молекулы сокращается с лет до месяцев, что в теории может ускорить весь цикл разработки лекарств в 2–3 раза.Вот подборка хэштегов, разделенных по тематикам, которые соответствуют контексту медицинских прорывов и технологий:
### Основные (на русском)
#медицина #наука #здоровье #технологии #инновации #открытия #биотехнологии #будущее #врачи #фармацевтика
### Профессиональные и узкие
#medicalscience #biotech #Rnd #клиническиеисследования #мРНК #геннаяинженерия #фарма #medtech
### Тренды и ИИ
#AIinMedicine #ИИвмедицине #цифроваямедицина #HealthTech #Biohacking #биохакинг
### Исторический контекст
#историямедицины #научныйпрорыв #пенициллин #инсулин #научныйфакт
### Для охватов (на английском)
#medicine #science #breakthrough #innovation #healthcare #futureofmedicine #medicaldiscovery
**Совет:** Если вы планируете пост в Telegram или Instagram, лучше использовать 5–7 наиболее релевантных хэштегов (например, 2 широких, 2 тематических и 1–2 на английском), чтобы не перегружать текст и не попадать под фильтры спама.Этот материал публикуется под лицензией **Creative Commons Attribution 4.0 (CC BY 4.0)**. Вы можете свободно копировать, изменять и использовать этот текст в любых целях (включая коммерческие). Обязательное условие — указание авторства и ссылки на источник.
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International Nurses Day - HealthAI2026
📧 [email protected]#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @europe @czechrepublic @charlesuniprg @OxMedStud @precisionmedicine @healthcare -
https://www.europesays.com/people/66330/ Mark Zuckerberg backed-Cellular Intelligence acquires Novo Nordisk’s Parkinson’s cell therapy #AIInMedicine #CellularIntelligence #ChanZuckerbergInitiative #FDAFastTrackDesignation #KhoslaVentures #MarkZuckerberg #NovoNordisk #Parkinson'sDiseaseTreatment #StemCellTherapy #USFoodAndDrugAdministration
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https://www.europesays.com/dk/79782/ Mark Zuckerberg backed-Cellular Intelligence acquires Novo Nordisk’s Parkinson’s cell therapy #AIInMedicine #CellularIntelligence #ChanZuckerbergInitiative #FDAFastTrackDesignation #KhoslaVentures #MarkZuckerberg #NovoNordisk #Parkinson'sDiseaseTreatment #StemCellTherapy #USFoodAndDrugAdministration
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https://www.europesays.com/people/66234/ Mark Zuckerberg backed-Cellular Intelligence acquires Novo Nordisk’s Parkinson’s cell therapy #AIInMedicine #CellularIntelligence #ChanZuckerbergInitiative #FDAFastTrackDesignation #KhoslaVentures #MarkZuckerberg #NovoNordisk #Parkinson'sDiseaseTreatment #StemCellTherapy #USFoodAndDrugAdministration
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AI is transforming medicine — helping clinicians diagnose earlier, predict risk, personalize treatment, and accelerate drug discovery. The future of care is smarter, faster, and still human-centered.
#AIinMedicine #DigitalHealth #Telehealth #MedicalInnovation #HealthcareAI
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https://www.europesays.com/ie/460083/ Chatbots outperform doctors in diagnosing many diseases, study finds #AI #AIInMedicine #ArtificialIntelligence #ClinicalDecisionSupport #DiagnosticReasoning #Éire #GPT4Healthcare #Health #HealthCare #Healthcare #IE #Ireland #JonathanHChen #MedicalChatbots #MedicalGoodNews #PhysicianAICollaboration #Research #Science #StanfordMedicine #TreatmentDecisionMaking
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Chatbots outperform doctors in diagnosing many diseases, study finds
Some medical decisions do not come with a single clean answer. A doctor may know what disease a…
#NewsBeep #News #Healthcare #AI #AIinmedicine #Artificialintelligence #CA #Canada #clinicaldecisionsupport #diagnosticreasoning #GPT-4healthcare #Health #JonathanH.Chen #medicalchatbots #MedicalGoodNews #physicianAIcollaboration #research #Science #StanfordMedicine #treatmentdecisionmaking
https://www.newsbeep.com/ca/636512/ -
https://www.europesays.com/uk/926454/ Chatbots outperform doctors in diagnosing many diseases, study finds #AI #AIInMedicine #ArtificialIntelligence #ClinicalDecisionSupport #DiagnosticReasoning #GPT4Healthcare #Health #Healthcare #JonathanHChen #MedicalChatbots #MedicalGoodNews #PhysicianAICollaboration #Research #Science #StanfordMedicine #TreatmentDecisionMaking #UK #UnitedKingdom
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Chatbots outperform doctors in diagnosing many diseases, study finds
Some medical decisions do not come with a single clean answer. A doctor may know wh…
#NewsBeep #News #Healthcare #AI #AIinmedicine #ArtificialIntelligence #clinicaldecisionsupport #diagnosticreasoning #GPT-4healthcare #Health #healthcare #JonathanH.Chen #medicalchatbots #MedicalGoodNews #physicianAIcollaboration #research #Science #StanfordMedicine #treatmentdecisionmaking #UK #UnitedKingdom
https://www.newsbeep.com/uk/556925/ -
𝗖𝗵𝗼𝗼𝘀𝗲 𝘆𝗼𝘂𝗿 𝗣𝗮𝘁𝗵𝘄𝗮𝘆 - 𝗛𝗲𝗮𝗹𝘁𝗵𝗔𝗜𝟮𝟬𝟮𝟲
📧 [email protected]#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @europe @czechrepublic @charlesuniprg @oxfordmedsci @precisionmedicine @healthcarevoices
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𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗣𝗹𝗲𝗻𝗮𝗿𝘆 𝗖𝗼𝘂𝗽𝘂𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗔𝗜𝟮𝟬𝟮𝟲
𝗗𝗶𝘀𝗰𝗼𝘂𝗻𝘁 𝗖𝗼𝗱𝗲: PLENARY20OFF#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @europe @czechrepublic @charlesuniprg @OxfordUehiroCentre @Hospitals -
𝟯𝗺𝗼𝗻𝘁𝗵𝘀 𝘁𝗼 𝗛𝗲𝗮𝗹𝘁𝗵𝗔𝗜𝟮𝟬𝟮𝟲
📧 [email protected]#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @europe @czechrepublic @charlesuniprg @OxfordUehiroCentre @Hospitals -
𝗗𝗲𝗹𝗲𝗴𝗮𝘁𝗲 𝗣𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗼𝗻 - HealthAI2026
📧 [email protected]#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @europe @czechrepublic @charlesuniprg @Oxford @oxfordmedsci -
https://www.europesays.com/people/?p=6855 Man used ChatGPT to create a cancer vaccine for his dog, says Sam Altman #AIInMedicine #ArtificialIntelligence #CancerTreatment #CancerVaccine #ChatGPT #DogHealth #HealthTechnology #PersonalisedMedicine #SamAltman #VeterinaryInnovation
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𝗢𝗿𝗮𝗹 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 - HealthAI2026
📧 [email protected]#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @charlesuniprg -
Choose Your Category - HealthAI2026
Submit your abstracts and register today🔗healthai.pagesconferences.org
📧 [email protected]#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic -
https://www.europesays.com/ie/392581/ Can AI help predict which heart-failure patients will worsen within a year? | MIT News #12LeadECG #AiInHealthCare #AIInMedicine #cardiology #ClinicalAI #CollinStultz #echocardiogram #Éire #EjectionFraction #electrocardiogram #HarvardMedicalSchool #HarvardMITHealthSciencesAndTechnology(HST) #Health #HealthCare #Healthcare #HeartDisease #HeartPatientSurvival #IE #Ireland #MassGeneralBrigham(MGB) #MITJameelClinic #PredictingHeartFailure #PULSEHF #TeyaBergamaschi #TiffanyYau
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https://www.europesays.com/2847847/ AI’s finest hour: Tech executive uses ChatGPT to create cancer vaccine that saved his dog’s life | #AI #AIInMedicine #ArtificialIntelligence #CancerVaccine #ChatGPTCancerResearch #DogCancerTreatment #ExperimentalTherapiesForDogs #MRNACancerVaccine #PersonalisedMedicine
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🤝 Academia Meets Industry at HealthAI2026
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation #ClinicalAI @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @medical @precisionmedicine @PennStateBiology @charlesuniprg
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🌟 Better care starts with better technology! AI is empowering healthcare teams to work smarter, respond faster, and improve patient outcomes like never before. Ready to revolutionize your approach to care? 🚀
Find out how: ravcare.com/how-ai-is-revolutionizing-patient-care-with-ravcare/
#AIinMedicine #HealthcareTech #PatientOutcomes #MedicalInnovation #SmartCare #DigitalTransformation #HealthcareRevolution
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🔬 Advancing Research Through Collaboration
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #FutureOfHealthcare #HealthTech #MedicalAI #AIInMedicine #DigitalHealth #HealthcareTechnology #MedicalInnovation #ClinicalAI
@[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @ucl @umn_infectiousdiseases @europe @czechrepublic @medical @DoctorsWithoutBorders @precisionmedicine @PennStateBiology -
🚨 "Experts Sound Alarm" 🚨 because ChatGPT Health can't tell the difference between a papercut and a heart attack. 🤖🩺 Apparently, relying on AI for medical advice is as sensible as asking a goldfish for stock tips. 🐟📈
https://www.theguardian.com/technology/2026/feb/26/chatgpt-health-fails-recognise-medical-emergencies #ExpertsSoundAlarm #ChatGPTHealth #AIinMedicine #MedicalAdvice #PapercutVsHeartAttack #HackerNews #ngated -
AI Finds Sperm, Skin Cells Made Into Eggs for Fertility Help
https://newsletter.tf/ai-sperm-skin-eggs-fertility-2025/
New ways to help people have babies. AI can find sperm and skin cells can be turned into eggs for fertility treatments.
#FertilityTreatment, #AIinMedicine, #InVitroGametogenesis, #NewHope, #ScienceNews
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Breakthroughs in Fertility Treatment: AI Identifies Sperm, Skin Cells Become Eggs
https://newsletter.tf/ai-sperm-skin-eggs-fertility-2025/
AI is now helping find sperm, and skin cells can be turned into eggs to help with fertility.
#FertilityTreatment, #AIinMedicine, #InVitroGametogenesis, #NewHope, #ScienceNews
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AI Finds Sperm, Skin Cells Made Into Eggs for Fertility Help
Scientists have made two big steps in helping people have children. One uses AI to find sperm when it's hard to find. Another turns skin cells into eggs that can be used in fertility treatments. These new methods offer more hope for people who want to start a family.
https://newsletter.tf/ai-sperm-skin-eggs-fertility-2025/
#FertilityTreatment, #AIinMedicine, #InVitroGametogenesis, #NewHope, #ScienceNews
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https://www.europesays.com/ie/330645/ AI algorithm enables tracking of vital white matter pathways | MIT News #AiInHealthCare #AIInMedicine #Alzheimer'sResearch #BrainDamage #BrainImaging #brainstem #BrainStemBundleTool(BSBT) #DiffusionMRIScans #Éire #EmeryN.Brown #Health #IE #Ireland #MarkOlchanyi #MITIMES #MITMedicalEngineeringAndMedicalPhysics #MITPicowerInstitute #MSResearch #Myelin #NeuralCircuits #Parkinson’sResearch #TraumaticBrainInjury #WhiteMatter
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🎉 Conference Chair Announcement!
🎯 Learn, network, collaborate
🌐 healthai.pagesconferences.org
⏳ Registration extended till Feb 24#HealthAI2026 #AIInsights #SmarterHealthcare #AIinHealthcare #PrecisionMedicine #AIinMedicine @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @umn_infectiousdiseases @universalhub @ucl @berlinup @PennStateBiology @DoctorsWithoutBorders @precisionmedicine @czechrepublic @charlesuniprg
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funny retraction in @[email protected] journal ICM link.springer.com/article/10.1... LLM made real citations into fake ones? 😂 (dunno what the editors mean by improper peer review) #emimcc #AIinMedicine #AISlop
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AI meets medical imaging
🎯 Learn, network, collaborate
🌐 healthai.pagesconferences.org#HealthAI2026 #AIInsights #SmarterHealthcare #AIinHealthcare #PrecisionMedicine #AIinMedicine @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @umn_infectiousdiseases @universalhub @ucl @universlogique @berlinup @PennStateBiology @DoctorsWithoutBorders @precisionmedicine @charlesuniprg
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🔍 #HealthAI2026 – Predictive Analytics in Precision Medicine
🎯 Learn, network, collaborate
🌐 healthai.pagesconferences.org#HealthAI2026 #AIInsights #SmarterHealthcare #AIinHealthcare #PrecisionMedicine #AIinMedicine @[email protected] @[email protected] @charlesuniprg @[email protected] @[email protected] @[email protected] @[email protected] @mayoclinic @stanfordmed @umn_infectiousdiseases @universalhub @ucl @universlogique @berlinup @PennStateBiology @DoctorsWithoutBorders @precisionmedicine
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15 Real unsolved medical mysteries that still stump doctors #Mysteries #AIinMedicine #AIDiagnostics #MedicalMystery #syndrome https://www.gsnsp.com/real-unsolved-medical-mysteries/
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AI diagnosed better than 80% of doctors this year.
But the AI actually changing operating rooms? Thermal sensors mounted above doors tracking when rooms are ready.
Cedars-Sinai cut room turnover from 45 min → under 30 min. American hospitals lose $2B/year to coordination failures.
Before AI can diagnose or operate, someone needs to know when the room is available.
Full newsletter: https://beginnersinai.beehiiv.com/p/ai-medicine-s-biggest-wins-of-2025-aren-t-the-ones-making-headlines
#AI #Healthcare #MedicalAI #HealthTech #AIinMedicine #OperatingRoom #HospitalTech
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✨ Pilot study highlight:
Using advanced CUDI processing (regularization, motion correction, SVD filtering), we showed that spatiotemporal similarity analysis outperforms TIC fitting in distinguishing RCC tumors from normal parenchyma.
A promising step toward more accurate, noninvasive RCC diagnosis.#Ultrasound #CUDI #Radiomics #RCC #KidneyCancer #MedicalImaging
#ContrastEnhancedUltrasound #AIinMedicine #DeepLearning
#OncoImaging #ImagingInnovation #MedTech #ResearchUpdate -
https://www.europesays.com/ie/200367/ MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases | MIT News #AI #AIInDrugDevelopment #AiInHealthCare #AIInMedicine #ArtificialIntelligence #ArtificialIntelligence #Boltz2 #BoltzGen #Éire #HannesStärk #IE #Ireland #MITCSAIL #MITJClinic #MITJameelClinic #ProteinBinding #ReginaBarzilay #Technology #TommiJaakkola
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https://www.europesays.com/2593143/ MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases | MIT News #AI #AIInDrugDevelopment #AIInHealthCare #AIInMedicine #ArtificialIntelligence #Boltz2 #BoltzGen #HannesStärk #MITCSAIL #MITJClinic #MITJameelClinic #ProteinBinding #ReginaBarzilay #TommiJaakkola
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Hội nghị Khoa học Kỹ thuật Hoàn Mỹ 2025 với chủ đề “Trí tuệ nhân tạo và ứng dụng lâm sàng” vừa khai mạc tại TP.HCM, đánh dấu bước tiến lớn trong việc tích hợp AI vào y học hiện đại. Sự kiện quy tụ các chuyên gia hàng đầu, trình bày các ứng dụng AI trong chẩn đoán, điều trị và quản lý bệnh nhân, hướng tới y học chính xác và cá nhân hóa. AI đang dần trở thành công cụ hỗ trợ đắc lực trong lâm sàng, nâng cao chất lượng chăm sóc sức khỏe.
#ArtificialIntelligence #AIinMedicine #DigitalHealth #MedTech
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🦠💊 Breakthrough in IBD treatment! McMaster scientists discover a new antibiotic targeting inflammatory bowel disease, with AI predicting its success before lab proof. A game-changer for gut health! Read more: https://healthsci.mcmaster.ca/new-antibiotic-targets-ibd-and-ai-predicted-how-it-would-work-before-scientists-could-prove-it/
#GoodNews #IBDTreatment #AntibioticBreakthrough #AIinMedicine #GutHealth
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AI in Medical Software Implementation: Your Complete Guide to Success
Healthcare leaders aren’t using AI because it’s cool. They’re using it because the numbers are too good to ignore. The business case for AI in medical software is so strong that organizations can’t wait.
https://www.startupeditor.com/....ai-in-medical-softwa
#aihealthcare #medicalai #healthtech #aiinmedicine #digitalhealth #aiimplementation
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🌍 HealthAI2026 | July 27–28, 2026 | Prague, Czech Republic
📧 [email protected]
🌐 healthai.pagesconferences.orgLet’s shape the future of medicine together!
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #MedicalResearch #FutureOfMedicine #DigitalHealth #GlobalHealth #MedTech #LifeSciences #HealthcareAI #AIInMedicine #MedicalInnovation #HealthTech #AIForHealthcare #PersonalizedMedicine #Genomics #Bioinformatics #HealthcareSummit #NextGenHealthcare
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HealthAI2026 | July 27–28, 2026 | Prague, Czech Republic 🚀
🌐 healthai.pagesconferences.org
#HealthAI2026 #PrecisionMedicine #AIHealthcare #HealthcareInnovation #MedicalResearch #FutureOfMedicine #DigitalHealth #GlobalHealth #MedTech #LifeSciences #HealthcareAI #AIInMedicine #MedicalInnovation #HealthTech #AIForHealthcare #PersonalizedMedicine #Genomics #Bioinformatics #HealthcareSummit #NextGenHealthcare #MedicalScience #FutureHealthcare #AIForHealth #HealthcareLeaders #ClinicalResearch
