The Impact of AI on the Field of Proteomicsby Aimee CichockiDiscover how AI is driving predictive mass spectra analysis in proteomics and related fields
NewsArtificial Intelligence Speeds Up Analysis of MRI Heart Scansby University of East AngliaNew method saves doctors’ time and could lead to better treatment for heart conditions
NewsHighly Accurate AI Model Can Estimate Lung Function Just by Using Chest X-raysby Osaka Metropolitan UniversityPotential benefits of this innovative method include subjecting patients to fewer exams and reducing health care costs
NewsNew Class of Cancer Mutations Discovered in So-Called ‘Junk’ DNAby Garvan Institute of Medical ResearchResearchers find potential cancer drivers using AI, opening up possible new approaches to diagnosis and treatment
NewsAI Medical Image Analyses Can Be Biasedby Massachusetts Institute of TechnologyAI models tend to use race, gender, and age as shortcuts when suggesting diagnoses
NewsNew Algorithm Identifies High-Potential Molecules for Developing New Medicineby Massachusetts Institute of Technology,Adam ZeweDubbed SPARROW, the system minimizes cost while maximizing candidate success likelihood
NewsAI Accurately Screens for Clinical Trial Eligibilityby Mass General BrighamWith proper safeguards, AI can increase efficiency
NewsWorking Alongside an AI 'Teammate' Encourages Participation from Womenby Cornell Ann S. Bowers College of Computing and Information Science,Louis DiPietroThe AI boosts productivity among women on male-dominated teams
NewsImproving AI Fairness: Study Reveals Innovative Approachesby Carnegie Mellon UniversityNew AI fairness method focuses on social welfare, aiming for balanced outcomes across all groups
NewsLargest-Ever Antibiotic Discovery Project Uncovers Potential Curesby Penn MedicineResearchers use AI to trawl "microbial dark matter"
NewsML Model Helps Read EEGs of ICU Patientsby Duke University Pratt School of EngineeringNew machine learning model helps doctors analyze EEG charts, aiding the detection of seizures in unconscious patients