#scitechdaily — Public Fediverse posts

Way ahead of you, #SciTechDaily
https://scitechdaily.com/adhd-isnt-just-a-deficit-study-reveals-powerful-hidden-strengths/?shem=dsdf,sharefoc,agadiscoversdl,,sh/x/discover/m1/4 My take from 2020 here dealing with #Trump, #ADHD and human #evolution https://nikolaskozloff.substack.com/p/grappling-with-evolutionary-destiny #covid #science #neurodiversity

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder -SciTechDaily.com

Health

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

By Roberto Molar Candanosa, Johns Hopkins University, December 20, 2025, 8 Comments,
5 Mins Read

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Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy brains and those linked to severe psychiatric disorders.

For the first time, scientists have used pea-sized brain organoids grown in the laboratory to uncover how neurons may malfunction in schizophrenia and bipolar disorder. These psychiatric conditions affect millions of people around the world, yet they remain difficult to diagnose because researchers still lack a clear understanding of their underlying molecular mechanisms.

The results could eventually help clinicians reduce diagnostic uncertainty when treating these and other mental health conditions. At present, such disorders are typically identified through clinical judgment alone, and treatment often relies on lengthy trial-and-error approaches to medication.

A detailed account of the findings was published in the journal APL Bioengineering.

“Schizophrenia and bipolar disorder are very hard to diagnose because no particular part of the brain goes off. No specific enzymes are going off like in Parkinson’s, another neurological disease where doctors can diagnose and treat based on dopamine levels even though it still doesn’t have a proper cure,” said Annie Kathuria, a Johns Hopkins University biomedical engineer who led the research. “Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug concentrations might help them get to a healthy state.”

Machine learning decodes disease specific signals

Kathuria’s team created the organoids, simplified versions of brain tissue, by reprogramming blood and skin cells from people with schizophrenia, bipolar disorder, and from healthy volunteers into stem cells capable of forming brain-like structures. They then applied machine learning tools to analyze the electrical activity of the organoids’ cells, allowing them to identify neural firing patterns associated with healthy and diseased states. In the human brain, neurons communicate through small electrical signals.

Continue/Read Original Article Here: Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder -SciTechDaily.com

Health

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

By Roberto Molar Candanosa, Johns Hopkins University, December 20, 2025, 8 Comments,
5 Mins Read

Facebook Twitter Pinterest Telegram, Share

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy brains and those linked to severe psychiatric disorders.

For the first time, scientists have used pea-sized brain organoids grown in the laboratory to uncover how neurons may malfunction in schizophrenia and bipolar disorder. These psychiatric conditions affect millions of people around the world, yet they remain difficult to diagnose because researchers still lack a clear understanding of their underlying molecular mechanisms.

The results could eventually help clinicians reduce diagnostic uncertainty when treating these and other mental health conditions. At present, such disorders are typically identified through clinical judgment alone, and treatment often relies on lengthy trial-and-error approaches to medication.

A detailed account of the findings was published in the journal APL Bioengineering.

“Schizophrenia and bipolar disorder are very hard to diagnose because no particular part of the brain goes off. No specific enzymes are going off like in Parkinson’s, another neurological disease where doctors can diagnose and treat based on dopamine levels even though it still doesn’t have a proper cure,” said Annie Kathuria, a Johns Hopkins University biomedical engineer who led the research. “Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug concentrations might help them get to a healthy state.”

Machine learning decodes disease specific signals

Kathuria’s team created the organoids, simplified versions of brain tissue, by reprogramming blood and skin cells from people with schizophrenia, bipolar disorder, and from healthy volunteers into stem cells capable of forming brain-like structures. They then applied machine learning tools to analyze the electrical activity of the organoids’ cells, allowing them to identify neural firing patterns associated with healthy and diseased states. In the human brain, neurons communicate through small electrical signals.

Continue/Read Original Article Here: Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder -SciTechDaily.com

Health

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

By Roberto Molar Candanosa, Johns Hopkins University, December 20, 2025, 8 Comments,
5 Mins Read

Facebook Twitter Pinterest Telegram, Share

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy brains and those linked to severe psychiatric disorders.

For the first time, scientists have used pea-sized brain organoids grown in the laboratory to uncover how neurons may malfunction in schizophrenia and bipolar disorder. These psychiatric conditions affect millions of people around the world, yet they remain difficult to diagnose because researchers still lack a clear understanding of their underlying molecular mechanisms.

The results could eventually help clinicians reduce diagnostic uncertainty when treating these and other mental health conditions. At present, such disorders are typically identified through clinical judgment alone, and treatment often relies on lengthy trial-and-error approaches to medication.

A detailed account of the findings was published in the journal APL Bioengineering.

“Schizophrenia and bipolar disorder are very hard to diagnose because no particular part of the brain goes off. No specific enzymes are going off like in Parkinson’s, another neurological disease where doctors can diagnose and treat based on dopamine levels even though it still doesn’t have a proper cure,” said Annie Kathuria, a Johns Hopkins University biomedical engineer who led the research. “Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug concentrations might help them get to a healthy state.”

Machine learning decodes disease specific signals

Kathuria’s team created the organoids, simplified versions of brain tissue, by reprogramming blood and skin cells from people with schizophrenia, bipolar disorder, and from healthy volunteers into stem cells capable of forming brain-like structures. They then applied machine learning tools to analyze the electrical activity of the organoids’ cells, allowing them to identify neural firing patterns associated with healthy and diseased states. In the human brain, neurons communicate through small electrical signals.

Continue/Read Original Article Here: Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder -SciTechDaily.com

Health

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

By Roberto Molar Candanosa, Johns Hopkins University, December 20, 2025, 8 Comments,
5 Mins Read

Facebook Twitter Pinterest Telegram, Share

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy brains and those linked to severe psychiatric disorders.

For the first time, scientists have used pea-sized brain organoids grown in the laboratory to uncover how neurons may malfunction in schizophrenia and bipolar disorder. These psychiatric conditions affect millions of people around the world, yet they remain difficult to diagnose because researchers still lack a clear understanding of their underlying molecular mechanisms.

The results could eventually help clinicians reduce diagnostic uncertainty when treating these and other mental health conditions. At present, such disorders are typically identified through clinical judgment alone, and treatment often relies on lengthy trial-and-error approaches to medication.

A detailed account of the findings was published in the journal APL Bioengineering.

“Schizophrenia and bipolar disorder are very hard to diagnose because no particular part of the brain goes off. No specific enzymes are going off like in Parkinson’s, another neurological disease where doctors can diagnose and treat based on dopamine levels even though it still doesn’t have a proper cure,” said Annie Kathuria, a Johns Hopkins University biomedical engineer who led the research. “Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug concentrations might help them get to a healthy state.”

Machine learning decodes disease specific signals

Kathuria’s team created the organoids, simplified versions of brain tissue, by reprogramming blood and skin cells from people with schizophrenia, bipolar disorder, and from healthy volunteers into stem cells capable of forming brain-like structures. They then applied machine learning tools to analyze the electrical activity of the organoids’ cells, allowing them to identify neural firing patterns associated with healthy and diseased states. In the human brain, neurons communicate through small electrical signals.

Continue/Read Original Article Here: Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder -SciTechDaily.com

Health

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

By Roberto Molar Candanosa, Johns Hopkins University, December 20, 2025, 8 Comments,
5 Mins Read

Facebook Twitter Pinterest Telegram, Share

Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy brains and those linked to severe psychiatric disorders.

For the first time, scientists have used pea-sized brain organoids grown in the laboratory to uncover how neurons may malfunction in schizophrenia and bipolar disorder. These psychiatric conditions affect millions of people around the world, yet they remain difficult to diagnose because researchers still lack a clear understanding of their underlying molecular mechanisms.

The results could eventually help clinicians reduce diagnostic uncertainty when treating these and other mental health conditions. At present, such disorders are typically identified through clinical judgment alone, and treatment often relies on lengthy trial-and-error approaches to medication.

A detailed account of the findings was published in the journal APL Bioengineering.

“Schizophrenia and bipolar disorder are very hard to diagnose because no particular part of the brain goes off. No specific enzymes are going off like in Parkinson’s, another neurological disease where doctors can diagnose and treat based on dopamine levels even though it still doesn’t have a proper cure,” said Annie Kathuria, a Johns Hopkins University biomedical engineer who led the research. “Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug concentrations might help them get to a healthy state.”

Machine learning decodes disease specific signals

Kathuria’s team created the organoids, simplified versions of brain tissue, by reprogramming blood and skin cells from people with schizophrenia, bipolar disorder, and from healthy volunteers into stem cells capable of forming brain-like structures. They then applied machine learning tools to analyze the electrical activity of the organoids’ cells, allowing them to identify neural firing patterns associated with healthy and diseased states. In the human brain, neurons communicate through small electrical signals.

Continue/Read Original Article Here: Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

Researchers reveal major key in hunting down Florida’s invasive pythons: ‘Significantly increase removal efficiency’

Burmese pythons have taken over the Florida Everglades in just a few decades, but there…
#NewsBeep #News #Wildlife #barometricpressure #BigCypressNationalPreserve #Burmesepythons #contractors #Florida #FloridaEverglades #Invasivespecies #Pythons #removalefficiency #Science #ScientificReports #SciTechDaily #UK #UnitedKingdom #UniversityofFlorida
https://www.newsbeep.com/uk/231618/

Researchers reveal major key in hunting down Florida’s invasive pythons: ‘Significantly increase removal efficiency’

Burmese pythons have taken over the Florida Everglades in just a few decades, but there is hop…
#NewsBeep #News #Wildlife #barometricpressure #BigCypressNationalPreserve #Burmesepythons #CA #Canada #contractors #Florida #FloridaEverglades #invasivespecies #pythons #removalefficiency #Science #ScientificReports #SciTechDaily #UniversityofFlorida
https://www.newsbeep.com/ca/244662/

We are falling short of the Paris Agreement’s targets

Scientists at Utrecht University have uncovered a hidden bias in how fairness and ambition have been judged that rewards big polluters and penalises vulnerable nations

https://scitechdaily.com/has-climate-math-been-rigged-this-whole-time/

#climateChange #globalWarming #ParisAgreement
#emissionTargets #SciTechDaily

We are falling short of the Paris Agreement’s targets

Scientists at Utrecht University have uncovered a hidden bias in how fairness and ambition have been judged that rewards big polluters and penalises vulnerable nations

https://scitechdaily.com/has-climate-math-been-rigged-this-whole-time/

#climateChange #globalWarming #ParisAgreement
#emissionTargets #SciTechDaily

We are falling short of the Paris Agreement’s targets

Scientists at Utrecht University have uncovered a hidden bias in how fairness and ambition have been judged that rewards big polluters and penalises vulnerable nations

https://scitechdaily.com/has-climate-math-been-rigged-this-whole-time/

#climateChange #globalWarming #ParisAgreement
#emissionTargets #SciTechDaily

We are falling short of the Paris Agreement’s targets

Scientists at Utrecht University have uncovered a hidden bias in how fairness and ambition have been judged that rewards big polluters and penalises vulnerable nations

https://scitechdaily.com/has-climate-math-been-rigged-this-whole-time/

#climateChange #globalWarming #ParisAgreement
#emissionTargets #SciTechDaily

We are falling short of the Paris Agreement’s targets

Scientists at Utrecht University have uncovered a hidden bias in how fairness and ambition have been judged that rewards big polluters and penalises vulnerable nations

https://scitechdaily.com/has-climate-math-been-rigged-this-whole-time/

#climateChange #globalWarming #ParisAgreement
#emissionTargets #SciTechDaily

They Went to the Arctic for Snow
They Found Rain and Flowers

https://scitechdaily.com/they-went-to-the-arctic-for-snow-they-found-rain-and-flowers/

#Svalbard #Arctic #globalWarming #climateChange
#climateDiary #winter #SciTechDaily #QueenMaryUniversityOfLondon

Space Emerges From Time? Groundbreaking Theory Upends Einstein

https://scitechdaily.com/space-emerges-from-time-groundbreaking-theory-upends-einstein/

#space #time #quantumPhysics #3DTime #SciTechDaily

#TheMetalDogArticleList
#SciTechDaily
Decoding the Geometry of Music: 70-Year-Old Math Problem Solved
A professor and his collaborators have proven Plyas conjecture for the eigenvalues of a disk, a tricky problem in mathematics. Is it possible to deduce the shape of a drum from the sounds it makes? This is the kind of question that Iosif Polterovich, a professor in the Department of Mathemat

https://scitechdaily.com/decoding-the-geometry-of-music-70-year-old-math-problem-solved/

#GeometryOfMusic #MathProblemSolved

A team of early-career researchers from @UniKoeln announced to have successfully deciphered the hitherto "unreadable" Central Asian #Kushan #script, puzzling™ scholars for about seventy years:

https://scitechdaily.com/seventy-year-old-puzzle-solved-researchers-decipher-ancient-unknown-kushan-script via #SciTechDaily

Once upon a midnight dreary …

Turns out, #ravens been spending time with us much longer than Edgar probably would've imagined (i.e. at least 30,000 years):

https://scitechdaily.com/ravens-in-prehistory-scientists-unearth-a-30000-year-old-relationship-with-humans via #SciTechDaily

The Hidden Mathematics of Crowds: How Pedestrians Inadvertently Self-Organize

https://scitechdaily.com/the-hidden-mathematics-of-crowds-how-pedestrians-inadvertently-self-organize/

"The discovery, recently published in the prestigious journal Science, constitutes a major advance in the interdisciplinary science of ‘active matter’ – the study of group behaviors in interacting populations ranging in scale from bacteria to herds of animals." --#universityOfBath #SciTechDaily

#api360 #robotics #AI

The Hidden Mathematics of Crowds: How Pedestrians Inadvertently Self-Organize

https://scitechdaily.com/the-hidden-mathematics-of-crowds-how-pedestrians-inadvertently-self-organize/

"The discovery, recently published in the prestigious journal Science, constitutes a major advance in the interdisciplinary science of ‘active matter’ – the study of group behaviors in interacting populations ranging in scale from bacteria to herds of animals." --#universityOfBath #SciTechDaily

#api360 #robotics #AI

The Hidden Mathematics of Crowds: How Pedestrians Inadvertently Self-Organize

https://scitechdaily.com/the-hidden-mathematics-of-crowds-how-pedestrians-inadvertently-self-organize/

"The discovery, recently published in the prestigious journal Science, constitutes a major advance in the interdisciplinary science of ‘active matter’ – the study of group behaviors in interacting populations ranging in scale from bacteria to herds of animals." --#universityOfBath #SciTechDaily

#api360 #robotics #AI

The Hidden Mathematics of Crowds: How Pedestrians Inadvertently Self-Organize

https://scitechdaily.com/the-hidden-mathematics-of-crowds-how-pedestrians-inadvertently-self-organize/

"The discovery, recently published in the prestigious journal Science, constitutes a major advance in the interdisciplinary science of ‘active matter’ – the study of group behaviors in interacting populations ranging in scale from bacteria to herds of animals." --#universityOfBath #SciTechDaily

#api360 #robotics #AI

The Hidden Mathematics of Crowds: How Pedestrians Inadvertently Self-Organize

https://scitechdaily.com/the-hidden-mathematics-of-crowds-how-pedestrians-inadvertently-self-organize/

"The discovery, recently published in the prestigious journal Science, constitutes a major advance in the interdisciplinary science of ‘active matter’ – the study of group behaviors in interacting populations ranging in scale from bacteria to herds of animals." --#universityOfBath #SciTechDaily

#api360 #robotics #AI

Stunning view of Milky Way galaxy released by scientists | Mashable | SciTechDaily

#Mashable #SciTechDaily #MilkyWay #view #survey #stars #photo #Astronomy

Viewer Link:
https://decaps.legacysurvey.org/viewer

*Mashable Article Link:*
https://mashable.com/article/milky-way-galaxy-image-stars-billions

*SciTechDaily Link:*
https://scitechdaily.com/dark-energy-camera-unveils-billions-of-celestial-objects-in-unprecedented-survey-of-the-milky-way/