DNA Methylation Patterns Predict MDS Treatment Response
A new multicenter study finds that DNA methylation patterns at diagnosis can predict which MDS patients will respond to azacitidine, ...
Tag: personalized medicine
Pancreatic Cancer Study Uncovers Biological Differences Across Diverse Patient Populations
Researchers have identified distinct tumor molecular signatures and immune cell profiles in pancreatic cancer between Black African American and Non-African ...
Multiomics Model Predicts Psoriasis Treatment Response
A new multiomics-clinical model predicts which psoriasis patients will achieve a 75% reduction in disease severity, identifying HLA-Cw6 genotype and ...
ML Model Predicts Ovarian Tumor Recurrence After Surgery
A new machine learning model developed by researchers predicts the risk of recurrence in patients with borderline ovarian tumors undergoing ...
AI blood glucose predictor built on physiology explains its own forecasts
A new physiology-informed neural network with attributable branches predicts blood glucose in type 1 diabetes while revealing which factors drive ...
ARDS Definition Gets a Global Makeover to Reach the 87 Percent
A new editorial argues the definition of ARDS must become both globally accessible and personalized through treatable traits, citing mortality ...
Gut Microbe Metabolites Engineered as Programmable Drugs Against Cancer
A new review argues that gut bacterial metabolites such as butyrate and indoles can be engineered as programmable drugs to ...
Gut Microbes May Decide Whether Your Medicine Works or Harms You
A new review explains how gut microbial enzymes, bioaccumulation, and enterohepatic recycling can activate, inactivate, or toxify drugs, while cautioning ...
AI Meets Bioprinting to Build Tumor Models for Drug Screening
A new review outlines how artificial intelligence is being combined with 3D bioprinting to build tumor models that mimic the ...
AI Maps Personalized Physiotherapy Dose–Response Curves for Older Adults
Researchers have developed a continuous causal machine learning model that estimates individualized dose–response curves for physiotherapy intensity in older adults, ...
Organoids and assembloids reshape how researchers model glioblastoma
A new review in Medical Oncology examines how organoid and assembloid technologies could overcome the limits of conventional models in ...
Physical Activity May Weaken the Link Between Genetic Risk and Depression Severity
A study in Nature Mental Health analyzing genetic, health and Fitbit data from the NIH All of Us program found ...
Laura Esserman Wins 2026 AIM-HI Beacon Award for Breast Cancer Leadership
UCSF breast surgeon Laura Esserman received the 2026 AIM-HI Beacon Award for leadership of breast cancer trials, risk-based screening and ...
Review Highlights MXenes as Conductive Scaffolds for Next-Generation Cardiac Patches
A new review in Annals of Biomedical Engineering examines how conductive two-dimensional MXene nanomaterials could advance cardiac patch design for ...
From Kilograms to Compliance: Rethinking Lung-Protective Ventilation as an Equity Issue
A new perspective in Intensive Care Medicine argues that tidal volumes scaled to predicted body weight systematically overestimate lung size ...
Hybrid AI model sharpens breast cancer survival prediction, UC study shows
University of Cincinnati Cancer Center researchers report that a hybrid statistical and deep learning survival model outperformed comparison models on ...
Observational genome study links eight processes to most prostate cancer DNA damage
An observational analysis of 959 prostate tumours from 1,001 men found that eight cellular processes account for 85% of DNA ...
SADRP: A structurally aware multi-modal framework for drug response prediction
SADRP combines drug topology, chemical-bond information, gene expression and DNA methylation to predict drug sensitivity across cancer cell lines.
Wearable AI forecasts prolonged sitting in women with chronic pelvic pain
A peer-reviewed modeling study found that personalized AI using Fitbit data forecast prolonged sedentary periods one hour ahead in women ...
Graph-learning model reports high drug-response accuracy in cancer cell lines
HGACL-DRP achieved reported mean AUC values of 95.48% and 98.99% on two public cancer cell-line datasets in a computational drug-response ...
