#biomedicalresearch — Public Fediverse posts

DATE: August 3, 2026 at 07:17AM
SOURCE: SCIENCE DAILY MIND-BRAIN FEED

TITLE: Scientists may have found aging’s hidden trigger for brain disease

URL: https://www.sciencedaily.com/releases/2026/08/260802223433.htm

Scientists have identified a molecular switch that may help explain why aging makes the brain more vulnerable to diseases such as ALS and Huntington’s. In worms, the protein EPS8 builds up with age and triggers signaling that encourages toxic proteins to clump together, damaging neurons and shortening lifespan. Reducing EPS8 activity prevented these harmful aggregates and preserved nerve function.

URL: https://www.sciencedaily.com/releases/2026/08/260802223433.htm

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AgingBrain #Neurodegeneration #EPS8 #BrainHealth #ALS #HuntingtonsDisease #ProteinAggregates #Neurons #Longevity #BiomedicalResearch

DATE: August 3, 2026 at 07:17AM
SOURCE: SCIENCE DAILY MIND-BRAIN FEED

TITLE: Scientists may have found aging’s hidden trigger for brain disease

URL: https://www.sciencedaily.com/releases/2026/08/260802223433.htm

Scientists have identified a molecular switch that may help explain why aging makes the brain more vulnerable to diseases such as ALS and Huntington’s. In worms, the protein EPS8 builds up with age and triggers signaling that encourages toxic proteins to clump together, damaging neurons and shortening lifespan. Reducing EPS8 activity prevented these harmful aggregates and preserved nerve function.

URL: https://www.sciencedaily.com/releases/2026/08/260802223433.htm

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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org

Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AgingBrain #Neurodegeneration #EPS8 #BrainHealth #ALS #HuntingtonsDisease #ProteinAggregates #Neurons #Longevity #BiomedicalResearch

DATE: July 28, 2026 at 06:00PM
SOURCE: PSYPOST.ORG

** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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TITLE: Elevated body mass index might lead to lower cortical thickness, study finds

URL: https://www.psypost.org/elevated-body-mass-index-might-lead-to-lower-cortical-thickness-study-finds/

A Mendelian randomization study found that elevated body mass index might be a cause of lower cortical thickness. This was particularly prominent in the precentral and fusiform gyrus regions of the brain. The paper was published in Molecular Psychiatry.

Obesity is a chronic condition characterized by an excessive accumulation of body fat that can impair health and well-being. It is commonly assessed using body mass index, or BMI, which is calculated by dividing a person’s weight in kilograms by the square of their height in meters. A BMI between 25 and 30 suggests a person is overweight, while a BMI of 30 or more indicates obesity. Although BMI is useful for population-level screening, it is a rough measure that does not directly evaluate body fat or show how fat is distributed throughout the body.

Obesity develops through an interaction of genetic, biological, psychological, social, and environmental factors. In modern environments, high-calorie foods tend to be readily available while opportunities for everyday physical activity tend to be reduced. Studies provide evidence that diets based on foods rich in both easily digestible sugars and fats contribute heavily to weight gain. This is exactly the composition of many popular modern foods.

Obesity increases the risk of many adverse health conditions, such as type 2 diabetes, cardiovascular disease, sleep apnea, joint problems, and some cancers. It can also affect mental health and expose people to stigma and discrimination, which may reduce their quality of life.

Study author Jodie N. Painter and her colleagues note that previous research links obesity to certain structural changes in the brain. Until now, it was unknown whether these changes preceded obesity or were the consequences of weight gain. Fat tissue secretes proteins called pro-inflammatory cytokines that cause low-grade inflammation in individuals with obesity. The researchers suspected this inflammation could potentially lead to the observed adverse changes in the brain.

The authors conducted a study using Mendelian randomization to see whether an elevated body mass index causes changes in the brain. The brain changes were measured as reduced cortical thickness, which refers to the depth of the brain’s outer layer of gray matter. Mendelian randomization is a research approach that uses naturally inherited genetic differences as proxies for environmental exposures. This helps scientists test whether an observed association is likely to reflect a direct cause-and-effect relationship.

This analysis was based on genome-wide association studies, which scan the entire genetic codes of large populations to find variations linked to specific traits. The genetic data for body mass index came from large international research consortiums that pool health information from hundreds of thousands of people. Specifically, the researchers used combined genetic data from up to 681,275 individuals of European ancestry. Data for the additional risk factors were drawn from other previously published genetic scans.

These additional factors included estimates of visceral fat, which is fat stored deep inside the belly around internal organs. The researchers also looked at fasting blood sugar, triglycerides, and high-density lipoprotein, a type of cholesterol that helps clear other cholesterols from the bloodstream. Finally, they included blood pressure and C-reactive protein, a substance that indicates the level of inflammation in the body.

Neuroimaging outcome data came from another massive international scientific collaborative group that studies the brain. This group provided genetic studies of global and regional cortical thickness in up to 23,183 individuals. The results showed that a higher body mass index was associated with lower average global cortical thickness. This association was particularly prominent in the precentral and fusiform gyrus regions of the brain.

The precentral gyrus controls voluntary movement, while the fusiform gyrus supports high-level visual recognition, especially of faces and words. More visceral fat and higher levels of the inflammatory blood marker C-reactive protein were also associated with lower cortical thickness. These associations tended to be stronger in areas where lower cortical thickness was already linked to a higher body mass index. In contrast, the researchers found very few associations between cortical thickness and blood pressure or metabolic blood markers.

The study authors concluded that their findings provide evidence for a causal effect of body mass index on lower cortical thickness. They recommend future research to explore how this effect on brain structure might increase the risk for neuropsychiatric conditions.

The study contributes to the scientific understanding of the structural brain changes induced by obesity. However, the scientists primarily investigated whether an elevated body mass index causes brain changes, rather than the reverse. A Mendelian randomization study like this can strengthen causal inferences but cannot provide definitive proof, as the research design depends on a number of assumptions.

The paper, “Deciphering the causal influence of BMI and related metabolic, inflammatory, and cardiovascular factors on brain structure: a Mendelian Randomization Study,” was authored by Jodie N. Painter, Alexander Refisch, Moritz Rau, Martin Walter, Scott Mackey, Jennifer Laurent, Paul M. Thompson, Katrina L. Grasby, Tomas Hajek, Sarah E. Medland, and Nils Opel.

URL: https://www.psypost.org/elevated-body-mass-index-might-lead-to-lower-cortical-thickness-study-finds/

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Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BMI #ObesityBrainLink #CorticalThickness #MendelianRandomization #BrainStructure #PrecentralGyrus #FusiformGyrus #Inflammation #NeuropsychiatricRisk #BiomedicalResearch

DATE: July 28, 2026 at 06:00PM
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: Elevated body mass index might lead to lower cortical thickness, study finds

URL: https://www.psypost.org/elevated-body-mass-index-might-lead-to-lower-cortical-thickness-study-finds/

A Mendelian randomization study found that elevated body mass index might be a cause of lower cortical thickness. This was particularly prominent in the precentral and fusiform gyrus regions of the brain. The paper was published in Molecular Psychiatry.

Obesity is a chronic condition characterized by an excessive accumulation of body fat that can impair health and well-being. It is commonly assessed using body mass index, or BMI, which is calculated by dividing a person’s weight in kilograms by the square of their height in meters. A BMI between 25 and 30 suggests a person is overweight, while a BMI of 30 or more indicates obesity. Although BMI is useful for population-level screening, it is a rough measure that does not directly evaluate body fat or show how fat is distributed throughout the body.

Obesity develops through an interaction of genetic, biological, psychological, social, and environmental factors. In modern environments, high-calorie foods tend to be readily available while opportunities for everyday physical activity tend to be reduced. Studies provide evidence that diets based on foods rich in both easily digestible sugars and fats contribute heavily to weight gain. This is exactly the composition of many popular modern foods.

Obesity increases the risk of many adverse health conditions, such as type 2 diabetes, cardiovascular disease, sleep apnea, joint problems, and some cancers. It can also affect mental health and expose people to stigma and discrimination, which may reduce their quality of life.

Study author Jodie N. Painter and her colleagues note that previous research links obesity to certain structural changes in the brain. Until now, it was unknown whether these changes preceded obesity or were the consequences of weight gain. Fat tissue secretes proteins called pro-inflammatory cytokines that cause low-grade inflammation in individuals with obesity. The researchers suspected this inflammation could potentially lead to the observed adverse changes in the brain.

The authors conducted a study using Mendelian randomization to see whether an elevated body mass index causes changes in the brain. The brain changes were measured as reduced cortical thickness, which refers to the depth of the brain’s outer layer of gray matter. Mendelian randomization is a research approach that uses naturally inherited genetic differences as proxies for environmental exposures. This helps scientists test whether an observed association is likely to reflect a direct cause-and-effect relationship.

This analysis was based on genome-wide association studies, which scan the entire genetic codes of large populations to find variations linked to specific traits. The genetic data for body mass index came from large international research consortiums that pool health information from hundreds of thousands of people. Specifically, the researchers used combined genetic data from up to 681,275 individuals of European ancestry. Data for the additional risk factors were drawn from other previously published genetic scans.

These additional factors included estimates of visceral fat, which is fat stored deep inside the belly around internal organs. The researchers also looked at fasting blood sugar, triglycerides, and high-density lipoprotein, a type of cholesterol that helps clear other cholesterols from the bloodstream. Finally, they included blood pressure and C-reactive protein, a substance that indicates the level of inflammation in the body.

Neuroimaging outcome data came from another massive international scientific collaborative group that studies the brain. This group provided genetic studies of global and regional cortical thickness in up to 23,183 individuals. The results showed that a higher body mass index was associated with lower average global cortical thickness. This association was particularly prominent in the precentral and fusiform gyrus regions of the brain.

The precentral gyrus controls voluntary movement, while the fusiform gyrus supports high-level visual recognition, especially of faces and words. More visceral fat and higher levels of the inflammatory blood marker C-reactive protein were also associated with lower cortical thickness. These associations tended to be stronger in areas where lower cortical thickness was already linked to a higher body mass index. In contrast, the researchers found very few associations between cortical thickness and blood pressure or metabolic blood markers.

The study authors concluded that their findings provide evidence for a causal effect of body mass index on lower cortical thickness. They recommend future research to explore how this effect on brain structure might increase the risk for neuropsychiatric conditions.

The study contributes to the scientific understanding of the structural brain changes induced by obesity. However, the scientists primarily investigated whether an elevated body mass index causes brain changes, rather than the reverse. A Mendelian randomization study like this can strengthen causal inferences but cannot provide definitive proof, as the research design depends on a number of assumptions.

The paper, “Deciphering the causal influence of BMI and related metabolic, inflammatory, and cardiovascular factors on brain structure: a Mendelian Randomization Study,” was authored by Jodie N. Painter, Alexander Refisch, Moritz Rau, Martin Walter, Scott Mackey, Jennifer Laurent, Paul M. Thompson, Katrina L. Grasby, Tomas Hajek, Sarah E. Medland, and Nils Opel.

URL: https://www.psypost.org/elevated-body-mass-index-might-lead-to-lower-cortical-thickness-study-finds/

-------------------------------------------------

Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org

Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BMI #ObesityBrainLink #CorticalThickness #MendelianRandomization #BrainStructure #PrecentralGyrus #FusiformGyrus #Inflammation #NeuropsychiatricRisk #BiomedicalResearch

🧬 Ever found the perfect cell line for your project, only to discover...

• it has 5 different names in the literature
• another lab says it was misidentified
• a database lists a different tissue origin

So… which information do you trust?

This is exactly why researchers use Cellosaurus
👉Visit us at: https://lnkd.in/eKQzET_K

By bringing together curated information on thousands of cell lines; including synonyms, origins, disease associations, references, and authentication data, Cellosaurus helps scientists quickly answer questions that would otherwise take hours of searching across papers and databases.

Because researchers shouldn’t have to solve a detective case before starting an experiment.

What’s the most confusing cell line naming issue you’ve encountered?

Part of the SIB Swiss Institute of Bioinformatics biodata resource portfolio, Cellosaurus is recognized as an ELIXIR Core Data Resource and Global Biodata Coalition Global Core Biodata Resource + International Rare Diseases Research Consortium (IRDiRC) Recognized Resource
More about SIB resources: https://www.expasy.org/

#cellines #Cellosaurus #cellbiology #researchtools #LifeSciences #BiomedicalResearch #bioinformatics

🧬 Ever found the perfect cell line for your project, only to discover...

• it has 5 different names in the literature
• another lab says it was misidentified
• a database lists a different tissue origin

So… which information do you trust?

This is exactly why researchers use Cellosaurus
👉Visit us at: https://lnkd.in/eKQzET_K

By bringing together curated information on thousands of cell lines; including synonyms, origins, disease associations, references, and authentication data, Cellosaurus helps scientists quickly answer questions that would otherwise take hours of searching across papers and databases.

Because researchers shouldn’t have to solve a detective case before starting an experiment.

What’s the most confusing cell line naming issue you’ve encountered?

Part of the SIB Swiss Institute of Bioinformatics biodata resource portfolio, Cellosaurus is recognized as an ELIXIR Core Data Resource and Global Biodata Coalition Global Core Biodata Resource + International Rare Diseases Research Consortium (IRDiRC) Recognized Resource
More about SIB resources: https://www.expasy.org/

#cellines #Cellosaurus #cellbiology #researchtools #LifeSciences #BiomedicalResearch #bioinformatics

RESEARCH INITIATIVES EARN ACCLAIM AMIDST GLOBAL HIGHER EDUCATION SHIFTS

Universities win awards for new wound models. This shows research is important for medical use and helps universities get noticed.

#WoundCare, #BiomedicalResearch, #UniversityAwards, #MedicalInnovation, #HigherEducation

https://newsletter.tf/university-wound-model-awards-boost-research/

Universities are winning awards for new wound models. This is important for medical science.

#WoundCare, #BiomedicalResearch, #UniversityAwards, #MedicalInnovation, #HigherEducation
https://newsletter.tf/university-wound-model-awards-boost-research/

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#DataScience #BigData #GraphTheory #ComputationalBiology #NetworkScience #Bioinformatics #SystemsBiology #BiomedicalResearch #MissingData

The Persistent Echo of Henrietta Lacks: Immortal Cells, Human Cost

Henrietta Lacks's cells, taken without consent in 1951, fueled medical research but her family was not recognized for decades. Learn about the ethical issues.

#HenriettaLacks, #HeLaCells, #MedicalEthics, #InformedConsent, #BiomedicalResearch

https://newsletter.tf/henrietta-lacks-cells-ethical-questions-remain/

Awesome stuff!! #WhiteheadInstitute #MIT #Immunology #ImmuneSystem #BiomedicalResearch #ResearchSky

RE: https://bsky.app/profile/did:plc:376brirdwae4fayb4sd3bzdy/post/3mlvvnsu4yk2t

I'm excited that @SciPyConf is coming to #minneapolis July 13-19 on the UMN campus. Check out the schedule at https://www.scipy2026.scipy.org/schedule

There are online tickets for those that aren't here (but why not come here) with special pricing for students and academics. In particular the Biology and Medical Sciences talks are Wed the 15th. #biomedicalResearch #python

I'm excited that @SciPyConf is coming to #minneapolis July 13-19 on the UMN campus. Check out the schedule at https://www.scipy2026.scipy.org/schedule

There are online tickets for those that aren't here (but why not come here) with special pricing for students and academics. In particular the Biology and Medical Sciences talks are Wed the 15th. #biomedicalResearch #python

HHS Unveils AI Plan to Accelerate Biomedical Research

Imagine a future where life-changing breakthroughs aren't held back by slow and familiar research methods - the Advanced Research Projects Agency for Health is making this a reality with a bold new AI plan. By harnessing the power of artificial intelligence, they aim to turbocharge biomedical research and deliver results up to ten…

https://osintsights.com/hhs-unveils-ai-plan-to-accelerate-biomedical-research?utm_source=mastodon&utm_medium=social

#BiomedicalResearch #ArtificialIntelligence #Arpah #Healthcare #EmergingTechnologies

6/
• Biomedical Research: The discussion contrasts observational curiosity, such as the AMNH cat sex experiments or Harry Harlow’s monkey studies, with research intended for lifesaving cures.

• The Three R's: It highlights progress in the scientific community through Replacement (e.g., synthetic skin), Reduction (computer models), and Refinement (pain management).

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch #DavidDeGrazia

6/
• Biomedical Research: The discussion contrasts observational curiosity, such as the AMNH cat sex experiments or Harry Harlow’s monkey studies, with research intended for lifesaving cures.

• The Three R's: It highlights progress in the scientific community through Replacement (e.g., synthetic skin), Reduction (computer models), and Refinement (pain management).

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch #DavidDeGrazia

4/
Philosophical Frameworks

The podcast defines three tiers of moral consideration:

1. Moral Status: Recognizing a being’s welfare for its own sake.
2. Equal Consideration: Granting equal moral weight to comparable interests, such as the avoidance of pain.
3. Utility-Trumping Rights: Protecting vital interests, like life or liberty, regardless of societal benefit

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch

4/
Philosophical Frameworks

The podcast defines three tiers of moral consideration:

1. Moral Status: Recognizing a being’s welfare for its own sake.
2. Equal Consideration: Granting equal moral weight to comparable interests, such as the avoidance of pain.
3. Utility-Trumping Rights: Protecting vital interests, like life or liberty, regardless of societal benefit

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch

3/
• Eastern Traditions: In contrast, the podcast highlights Jainism, Buddhism, and Hinduism, which emphasize interconnectedness and non-injury to all living things through principles like ahimsa.

• Scientific Shifts: The narrative covers how Charles Darwin's theory of evolution and Jeremy Bentham's focus on suffering dismantled rigid mechanical hierarchies.

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch #DavidDeGrazia

3/
• Eastern Traditions: In contrast, the podcast highlights Jainism, Buddhism, and Hinduism, which emphasize interconnectedness and non-injury to all living things through principles like ahimsa.

• Scientific Shifts: The narrative covers how Charles Darwin's theory of evolution and Jeremy Bentham's focus on suffering dismantled rigid mechanical hierarchies.

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch #DavidDeGrazia

2/
Historical and Global Perspectives

• Western Hierarchy: The episode traces the origins of human supremacy to Aristotle, who argued that because animals lack reason, their biological purpose is to serve humans.

• Mechanical Views: It discusses René Descartes' 17th-century view of animals as "organic machines" without consciousness or the ability to feel pain.

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch #podcast

2/
Historical and Global Perspectives

• Western Hierarchy: The episode traces the origins of human supremacy to Aristotle, who argued that because animals lack reason, their biological purpose is to serve humans.

• Mechanical Views: It discusses René Descartes' 17th-century view of animals as "organic machines" without consciousness or the ability to feel pain.

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch #podcast

Are Animals Machines or Moral Equals ?

This podcast episode provides a detailed exploration of the ethical and philosophical frameworks surrounding animal rights and human utility. Using David de Grazia’s Animal Rights: A Very Short Introduction as a primary resource, the discussion aims to provide listeners with a philosophical toolkit to navigate complex debates on animal welfare.

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch

Are Animals Machines or Moral Equals ?

This podcast episode provides a detailed exploration of the ethical and philosophical frameworks surrounding animal rights and human utility. Using David de Grazia’s Animal Rights: A Very Short Introduction as a primary resource, the discussion aims to provide listeners with a philosophical toolkit to navigate complex debates on animal welfare.

https://youtu.be/6lOfoKbLPDg

#AnimalRights #Ethics #Philosophy #FactoryFarming #AnimalWelfare #BiomedicalResearch

Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.

Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.

https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/

Here's the third (and last!) entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over the REST API component and potential issues with it.

Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch) and better workflows for running those trials.

https://brianrepko.github.io/blog/posts/2026-03-11-datasetjson-part3/

A study in Nature shows that M101—an oxygen carrier from the marine worm *Arenicola marina*—significantly reduces inflammation and tissue destruction caused by *P. gingivalis*. A promising step for periodontal therapy! 🧫🌊🦷

Read more: https://www.nature.com/articles/s41598-020-71593-8
#Periodontitis #Inflammation #BiomedicalResearch #ScienceNews

A study in Nature shows that M101—an oxygen carrier from the marine worm *Arenicola marina*—significantly reduces inflammation and tissue destruction caused by *P. gingivalis*. A promising step for periodontal therapy! 🧫🌊🦷

Read more: https://www.nature.com/articles/s41598-020-71593-8
#Periodontitis #Inflammation #BiomedicalResearch #ScienceNews

Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.

Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).

Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!

https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/

Here's the second entry in a series of blog posts on the #cdisc Dataset-JSON standard. This entry goes over potential issues with the specification.

Pushing for the future of #clinicaltrial #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch).

Here's to moving past 1989 file formats in ... 2026 - in SAS, R, or Python!

https://brianrepko.github.io/blog/posts/2026-01-15-datasetjson-part2/

First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)

https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/

First entry in a series of blog posts on the #cdisc Dataset-JSON standard. Diving in on the future of #clinical #research #data (and related to the #pharmaverse and #rstats folks in #biomedicalresearch)

https://brianrepko.github.io/blog/posts/2025-12-31-datasetjson-part1/

Scientists have grown a tiny human "blood factory" that actually works—an advanced 3D bone marrow model made entirely from human cells! This breakthrough promises to reduce animal testing and could revolutionize blood cancer research and personalized treatments. 🩸🦴🔬 #BiomedicalResearch #Innovation https://www.sciencedaily.com/releases/2025/11/251120092103.htm
#newz

Scientists have grown a tiny human "blood factory" that actually works—an advanced 3D bone marrow model made entirely from human cells! This breakthrough promises to reduce animal testing and could revolutionize blood cancer research and personalized treatments. 🩸🦴🔬 #BiomedicalResearch #Innovation https://www.sciencedaily.com/releases/2025/11/251120092103.htm
#newz

🔍 Can AI transform how we discover biological datasets?

🔗 Public Omics Explorer (POE): Enabling integrative semantic search across GEO omics datasets based on PubMed publications. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.11.004

📚 CSBJ: https://www.csbj.org/

#Bioinformatics #Genomics #SemanticSearch #ArtificialIntelligence #BiomedicalResearch #FAIRData #OpenScience #ComputationalBiology #DataDiscovery #MachineLearning

🔍 Can AI transform how we discover biological datasets?

🔗 Public Omics Explorer (POE): Enabling integrative semantic search across GEO omics datasets based on PubMed publications. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.11.004

📚 CSBJ: https://www.csbj.org/

#Bioinformatics #Genomics #SemanticSearch #ArtificialIntelligence #BiomedicalResearch #FAIRData #OpenScience #ComputationalBiology #DataDiscovery #MachineLearning

AI revolutionising fight against cancer and diabetes
#Health #AI #CancerResearch #DiabetesResearch #Biotech #Type1Diabetes #DrugDiscovery #MedicalAI #Healthcare #Immunotherapy #HealthcareInnovation #PrecisionMedicine #DigitalHealth #BiomedicalResearch
https://the-14.com/ai-revolutionising-fight-against-cancer-and-diabetes/

AI revolutionising fight against cancer and diabetes
#Health #AI #CancerResearch #DiabetesResearch #Biotech #Type1Diabetes #DrugDiscovery #MedicalAI #Healthcare #Immunotherapy #HealthcareInnovation #PrecisionMedicine #DigitalHealth #BiomedicalResearch
https://the-14.com/ai-revolutionising-fight-against-cancer-and-diabetes/

This lower bound differed across disciplines, countries, journals, reaching 40% for some #subcorpora. We show that #LLMs have had an unprecedented impact on #scientificwriting in #biomedicalresearch, surpassing the effect of major world events such as the COVID pandemic

Yet, many scientists use them for their scholarly writing. But how widespread is such #LLM usage in the #academicliterature? To answer this question for the field of #biomedicalresearch, we present an #unbiased, large-scale approach: We study vocabulary changes in more than 15 million biomedical

#Abstract
Large language models #LLMs like #ChatGPT can generate & revise text with human-level performance. These models come with clear limitations can produce inaccurate information & reinforce existing biases. Yet, many scientists use them for their scholarly writing. But how widespread is such LLM usage in the academic literature? To answer this question for the field of #biomedicalresearch, we present an #unbiased, large-scale approach: We study vocabulary changes in more than 15 million

🏋️‍♂️ What’s the molecular payoff of just one high-intensity workout?

🔗 A single HIIT session does not alter blood sphingolipid levels in healthy young adults: The SphingoHIIT randomized controlled trial. DOI: https://doi.org/10.1016/j.csbj.2025.07.004

📚 CSBJ: https://www.csbj.org/

#SportsMedicine #Metabolomics #ExerciseScience #CardiometabolicHealth #BiomedicalResearch #ClinicalTrials #HIIT #HeartHealth #PreventiveMedicine #PublicHealth #HealthInnovation #FitnessResearch #Wellbeing @csbj

🔬🧠 Researchers from our school have developed a ‘self-driving’ microscope that can predict the onset of misfolded protein aggregation, a hallmark of neurodegenerative disease, as well as analyze the biomechanical properties of these aggregates.

#NeurodegenerativeDisease #BiomedicalResearch #MedicalInnovation

Read more: https://go.epfl.ch/eST-en

🔬🧠 Researchers from our school have developed a ‘self-driving’ microscope that can predict the onset of misfolded protein aggregation, a hallmark of neurodegenerative disease, as well as analyze the biomechanical properties of these aggregates.

#NeurodegenerativeDisease #BiomedicalResearch #MedicalInnovation

Read more: https://go.epfl.ch/eST-en

🔎 How can AI-powered tools help scientists uncover hidden connections in disease research?

🔗 Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.025

📚 CSBJ: https://www.csbj.org/

#AIinScience #BiomedicalTextMining #Genomics #PrecisionMedicine #Bioinformatics #OpenScience #BiomedicalResearch #BiomedicalAI #LiteratureMining #SystemsBiology #Omics #KnowledgeDiscovery

🔎 How can AI-powered tools help scientists uncover hidden connections in disease research?

🔗 Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.025

📚 CSBJ: https://www.csbj.org/

#AIinScience #BiomedicalTextMining #Genomics #PrecisionMedicine #Bioinformatics #OpenScience #BiomedicalResearch #BiomedicalAI #LiteratureMining #SystemsBiology #Omics #KnowledgeDiscovery

🧬 Can we track nanoparticles in cells without fluorescent labels or destructive prep?

🔗 The application of label-free Raman microscopy to monitor particle-cell interactions in in-vitro experiments. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.002

📚 CSBJ Quantum Biology and Biophotonics: https://www.csbj.org/qbio

#RamanMicroscopy #Nanotoxicology #CellBiology #LabelFreeImaging #Nanoparticles #BiomedicalResearch #TiO2 #LabelFree #Nanomedicine #ChemicalImaging

Don’t miss it!

Final reminder: Prof. Markus List's seminar on data leakage in biomedical ML is today! Many thanks to @Francesca_Finotello, @uniinnsbruck, and the Molecular Biology Department for this opportunity.

🕔 17:00 (CEST)
📍 Campus Technik, Hörsaal D

#BiomedicalResearch #MachineLearning

🧬 Happening today! Join us for a GHGA lecture by Prof. Rami Abou Jamra (University of Leipzig):
"Genome sequencing for rare disease diagnostics: uncovering hidden causal variants"
Learn how genome sequencing is advancing the diagnosis of rare diseases beyond exome analysis.

📅 May 21, 2025 | 🕒 4PM
🔗 Register here: https://dkfz-de.zoom.us/meeting/register/eE1w4zLpTFO4z2jcuUxbDg#/registration

Part of the Advances in Data-Driven Biomedicine series.
#Genomics #RareDiseases #GHGA #BiomedicalResearch #GenomeSequencing

🔬 🧫 Organoids are a promising breakthrough that scientists have been exploring over the past 15 years. These three-dimensional tissue cultures grown from human stem cells stand to revolutionize some aspects of biomedical research, but they won’t do away entirely with the need for animal testing.

#Organoids #BiomedicalResearch #StemCellResearch

Read more: https://go.epfl.ch/61U-en

🔬 Biomedical AI Insights! 🔬

Join Prof. Markus List as he reveals how data leakage impacts ML in biomedical research & how to avoid false results! Special laudations to @Francesca_Finotello for enabling this seminar!

https://www.uibk.ac.at/en/disc/events/seminar-list/
#BiomedicalResearch #MachineLearning

Stem cells coaxed into most advanced amniotic sacs ever grown in the lab.

The sacs grew to roughly 2 centimetres wide and could be used to study early pregnancy.

Read more: https://omniletters.com/advanced-amniotic-sacs-created-from-stem-cells/

#Science #StemCells #AmnioticSac #LabResearch #EarlyPregnancy #Biotech #RegenerativeMedicine #ScienceBreakthrough #CellBiology #BiomedicalResearch #PregnancyScience #StemCellResearch #MedicalInnovation #DevelopmentalBiology #HealthScience
#ScientificDiscovery