https://medicine.yale.edu/news-article/ysm-faculty-recognized-with-yale-faculty-innovation-awards/
Archive for the 'x78qt' Category
YSM Researchers Recognized with Yale Faculty Innovation Awards | Yale School of Medicine
December 23, 2025From Lab to Launch: Eleven Faculty Innovators Recognized for Turning Research into Real-World Impact | Yale Ventures
November 23, 2025QT:{{”
The 2025 Yale Faculty Innovation Awards honor academic founders whose startups—rooted in Yale research—are advancing breakthroughs in health, sustainability, and engineering.
Date: 11/20/2025
Yale University has recognized eleven faculty innovators with the 2025 Yale Faculty Innovation Awards for translating breakthrough research into ventures that address some of the world’s most pressing challenges. These academic founders are transforming discoveries made in Yale labs into technologies that improve human health, advance sustainability, and shape the future of science and society.
Spanning AI-powered drug discovery and precision health, novel therapeutics for neurodegenerative and autoimmune diseases, advanced materials and microLED engineering, and next-generation tools for molecular imaging and genomic privacy, this year’s awardees exemplify how Yale research drives real-world impact.
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Advancing DNA analysis and privacy protection with cutting-edge data-science approaches.
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Efficient Privacy-Preserving Training Of Quantum Neural Networks Utilizes Mixed States For Data Ensembles
September 21, 2025Qt on lab analyses from She Has Her Mother’s Laugh
August 2, 2025Quote from Pg. 192 of the hardcover version of
She Has Her Mother’s Laugh: The Powers, Perversions, and Potential of Heredity by Carl Zimmer:
QT:{{”
It took a couple of weeks for Mark Gerstein to work over my genome. He and his students wanted to analyze the short fragments of DNA with their own software and create their own map. Once they had pinned down the location of the vast majority of Illumina’s fragments, they could then determine which variants I carried. ….
The Nigerian and the Chinese had a similar number of single-nucleotide polymorphisms. But those variants did not distinguish the three of us in any clear way. Sushant Kumar, a postdoctoral researcher in Gerstein’s lab, made me a Venn diagram to drive the point home. … “}}
Yale’s Colton Center for Autoimmunity Announces 2025 Awardees Advancing Innovation in Autoimmune Disease Research | Yale Ventures
July 30, 2025Yale’s Colton Center for Autoimmunity Announces 2025 Awardees Advancing Innovation in Autoimmune Disease Research | Yale Ventures
https://ventures.yale.edu/news/yales-colton-center-autoimmunity-announces-2025-awardees-advancing-innovation-autoimmune
Eight Translational Biotech Projects Selected for 2025 Blavatnik Accelerator Awards | Yale Ventures
July 12, 2025QT:{{”
Mark Gerstein, PhD, Albert L Williams Professor of Biomedical Informatics and Professor of Molecular Biophysics & Biochemistry, of Computer Science, and of Statistics & Data Science
Project: WearGenix: Linking Wearables to Brain Health
Modality: Digital Platform | Therapeutic Area: Neuropsychiatry
Dr. Gerstein’s platform combines smartwatch data with genomic analysis to identify biomarkers for mental health and neurodegenerative diseases. The technology has been tested for ADHD and is expanding to other neurodegenerative conditions.
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Wearables may offer clues to psychiatric diagnoses | Findings | Yale Alumni Magazine
March 1, 2025https://www.yalealumnimagazine.com/articles/6008-wearables-may-offer-clues-to-psychiatric-diagnoses
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A study by a Yale-led research team has shown that more accurate diagnosis of attention-deficit/hyperactivity disorder (ADHD) and other mental health conditions may be on the horizon, thanks to wearable sensors such as smartwatches. The study was published in the journal Cell.
ADHD, characterized by difficulty focusing, restlessness, and impulsive behavior, is the most commonly diagnosed behavioral disorder in children; it can lead to disruptions in learning and daily functioning. Early, accurate diagnosis and intervention can be critical in minimizing its impact. The problem, notes co–senior author Mark Gerstein, the Albert L. Williams Professor of Biomedical Informatics, is that “ADHD has traditionally been diagnosed
symptomatically, and there is an element of subjectivity to
categorizing human behavior. We wanted to see if wearable devices could increase diagnostic precision.”
The study analyzed clinical, wearable, and genetic data from 11,878 US adolescents (ages 9–14) recruited by the NIH Adolescent Brain Cognitive Development Consortium project. Information collected included measurements of heart rate, calorie expenditure, activity intensity, steps, and sleep intensity.
The researchers determined that correctly processed smartwatch data could be used as a “digital phenotype.” (Phenotype is the observable expression—physical characteristics, behaviors—of someone’s genotype, which is each person’s unique DNA sequence and their environment.) “We found,” says Gerstein, “that from the sensor readings we could quite accurately determine if someone has ADHD.”
The researchers used the data to train AI models to identify two psychiatric disorders. They further determined which measurements were most useful in characterizing them. Heart rate was the most important predictor for ADHD, while sleep quality and stage were more useful for identifying anxiety. Based on the patterns across the wearable features, the researchers were able to pinpoint genes and genetic variants associated with ADHD.
Gerstein notes the significance of making the connection to genotype. “We found that the smartwatch measurements can better relate disorders to genetics than just correlating them directly with clinical diagnoses,” he says. “Finding more genetic variants and genes related to the disorders could uncover molecular mechanisms and give us pathways to new treatments.”
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Media query (Nature Medicine): Quantum computing and health
January 19, 2025Guenot, M. (2025). Can quantum computing crack the biggest challenges in health? Nature Medicine. https://doi.org/10.1038/s41591-024-03369-w
Great story by @Marianne_Guenot, providing good & *not* good news about QC for biomedicine.
QT:{{
The potential power of quantum computers in cracking problems that classical computers cannot is not all good news, says Mark Gerstein, a professor of biomedical informatics at Yale University who recently co-authored a review about quantum computing and health for Nature Methods3.
Experts predict that quantum computers could become fiendishly good at breaking through current encryption algorithms, says Gerstein, which could pose a problem for the privacy of confidential patient data. “There’s a huge push right now to get post-quantum cryptography to work,” he says.
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The idea, then, is not for quantum computers to replace classical computers, says Gerstein. Instead, they should be considered as adding a node to a computing chain, as each can contribute different strengths to solve a problem. “The art here is figuring out which bit of this big calculation you can quantize,” says Gerstein.
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AI tool that predicts gene activity could open path for disease treatments – The Washington Post
January 18, 2025https://www.washingtonpost.com/science/2025/01/09/ai-predicts-gene-activity/
Johnson, M. (2025, January 8). Scientists trained AI to predict gene activity, a potentially powerful tool. Washington Post.
https://www.washingtonpost.com/science/2025/01/09/ai-predicts-gene-activity/
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Mark Gerstein, a professor of biomedical informatics at Yale School of Medicine, who was not involved in the new study, said that for 15 to 20 years experts have been systematically trying to make predictions about gene regulation, building on a trove of carefully made datasets. The data examined all genes in specific types of human cells ― for example, retinal cells or neurons ― measuring, among other things, gene expression and the binding of key proteins called transcription factors.
“This is a field poised to have this type of advancement by AI,” Gerstein said. “}}
Turning on pseudogenes | Interviews | Naked Scientists
January 3, 2025QT:{{”
Kat – Do you think that there are other pseudogenes lurking the genome that have this kind of roles that are actually not drunk and not dead, and could be very active and important?
Howard – Yes, indeed. So, I think over the last several years, the other investigators have found have resembled from the ENCODE project that many pseudogenes are actually being transcribed, that they’re made. They’re evidence of their activation and that work was led by a Professor Mark Gerstein from Yale. More recently, other people have realised that pseudogenes because they’re copies of normal genes, they have many of the same regulatory sequences embedded in them. And so, when the pseudogenes are made, because of these regulatory sequences, compete for different cellular factors.
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https://www.thenakedscientists.com/articles/interviews/turning-pseudogenes
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