Content by Mount Sinai Hospital
|3 min read
New AI Tool Identifies Not Just Genetic Mutations, but the Diseases They May Cause
The method, called V2P, uses advanced machine learning to link genetic variants with their likely phenotypic outcomes
|3 min read
Experimental mRNA Therapy Shows Potential to Combat Antibiotic-Resistant Infections
Preclinical studies show mRNA therapy slows antibiotic-resistant bacteria and enhances immune response
|3 min read
Mount Sinai Researchers Use AI and Lab Tests to Predict Genetic Disease Risk
AI model uses common data to gauge risk from rare genetic variants
|4 min read
Mount Sinai Health System Among First to Use Blood Tests for Early Alzheimer’s Detection
Mount Sinai Health System among the first in the world to use blood tests as an early detection tool for Alzheimer’s disease and related dementias in patients
|2 min read
Can AI Help Improve ER Admission Decisions?
A new study from Mount Sinai used data from than 864,000 emergency room visits to assess GPT-4’s ability to predict hospital admissions
|2 min read
High-Tech Imaging Offers New Way to Detect Signs of Early Glaucoma
This is the first comprehensive study to look at FPF changes in the optic nerves in patients
|2 min read
Researchers Discover Genes That Predict Good Response to Blood Cancer Therapy
Patients whose multiple myeloma has three-gene signature are likely to benefit
|2 min read
Predicting Immunotherapy Response for Lung Cancer
Biomarker in liquid biopsy could be more accurate than tumor biopsy at predicting therapy response
|2 min read
New Types of a Blood Cancer and Potential Targeted Treatments Identified
Researchers first to create a novel model for multiple myeloma, stratifying the cancer’s severity
|3 min read
Researchers Advance a Universal Influenza Virus Vaccine
The vaccine could provide long-lived protection with two or three immunizations, eliminating the need for revaccination
|5 min read
The First Use of AI to Analyze COVID-19 Patients in the US
Scientists have developed a unique algorithm that can rapidly detect COVID-19 based on how lung disease looks in CT scans of the chest, in combination with patient information
|2 min read
