Search results
31 Results for 'Artificial Intelligence'
- Technologies (3)
- Collaborations (0)
- Team (0)
- News (19)
- Pages (0)
- Multimedia (9)
- Publications (0)
- Jobs (0)
- Events (0)
Technologies 3
-
CircaVent: A Drug Discovery Platform for Mental Health Conditions
CircaVent is a novel drug discovery platform that combines predictive algorithms, high-throughput preclinical models, and human organoids to identify and test drugs that could treat mental health conditions like bipolar disorder. -
FernScore: Diagnosing bacterial vaginosis for reproductive health
Vaginal infections, especially bacterial vaginosis (BV), are a major concern for women’s health. Current diagnosis methods are subjective and often miss the mark, particularly for asymptomatic women. Researchers have developed a promising new approach using a test that analyzes the fern-like patterns formed when cervical mucus dries on a slide. Healthy mucus forms distinct fern... -
MenoStrengthRX: Strength Training in Menopausal Women
Muscle loss is a major concern for women as they enter perimenopause, as it can cause an increased risk of diabetes, heart disease, and other health conditions. We’re developing wearable sensors and using machine learning to guide and track strength training at home. By offering personalized guidance without the high cost of personal trainers, the...
News 19
Multimedia 9
-
Video/AnimationFinding a Balance In Bipolar Disorder Through Drug Prediction and Organoid-Based Drug ScreeningCircaVent is a high-throughput drug screening platform that combines predictive algorithms, preclinical models, and human brain organoids to efficiently identify and test drugs that could treat the underlying causes of bipolar disorder. CircaVent is initially focused on addressing the circadian rhythm disruptions that are a common hallmark of BD, and could dramatically speed up the... -
Video/AnimationAtlantic Health: Accelerating Innovation – AI and Drug DiscoveryThe Atlantic’s Health Summit returned to Boston in 2025 for their annual exploration of the urgent issues reshaping the healthcare landscape. The event showcased recent breakthroughs that are redefining medical practices and explored the challenges of scaling innovation and implementing sustainable solutions. Speakers explored early disease detection, novel anesthetics, pain management, AI and drug discovery,... -
Video/AnimationPeter Nguyen: Biology Engineering, Bigfoot Hunting, and Better Climate TechnologyWyss Senior Scientist Peter Nguyen received a B.S. in Biochemistry and B.A. in Philosophy from the University of Texas, his M.Bs. from the Keck Graduate Institute, and his Ph.D. in Biochemistry from Rice University. At the Wyss Institute, Peter currently works on programmable probiotics and freeze-dried cell-free manufacturing technology across multiple platforms. His research interests... -
Video/AnimationUsing deep learning to detect cancerous skin lesionsMelanoma is a very severe cancer that is often diagnosed too late to save patients’ lives, and most people do not regularly visit a dermatologist for skin exams. Early-stage identification of suspicious pigmented lesions (SPLs), ideally by primary care providers, could lead to improved melanoma prognosis. Researchers at the Wyss Institute and MIT have developed... -
Video/AnimationHumans of the Wyss – Faculty Edition with Mike LevinOur interview series, “Humans of the Wyss – Faculty Edition,” features Wyss Institute faculty members discussing how they think about their work, the influences that helped shape them as scientists, and their collaborations at the Wyss Institute and beyond. In the second edition of the series, Benjamin Boettner, Wyss Institute Communications team member, talks to... -
Video/AnimationLiving MaterialsCan we create a world of living materials that have the characteristics of biological systems: self-replication, self-regulation, self-healing, environmental responsiveness and self-sustainability? Engineered Living Materials (ELMs) are defined as engineered materials composed of living cells that form or assemble the material itself or modulate the functional performance of the material in some manner. The proposed Big...