ML Model Identifies Cancer Type-Specific Driver Mutations
Pohang University of Science and Technology
Predicting the carcinogenicity of tissue-specific driver mutations may help detect and intervene in the early stages of cancer development
Machine Learning
An AI Invasion: Improving Breast Cancer Biopsies
Miriam Bergeret, MSc
Researchers report first-ever routine clinical use of an AI-based tool for breast cancer biopsies in a pathology lab
New ML Model Improves Prostate Cancer Recurrence Prediction
Elsevier
Machine learning model combines fusion gene expression, serum PSA level, and Gleason score to accurately predict cancer recurrence
A Blood Test for Cancer Shows Promise Thanks to Machine Learning
University of Wisconsin-Madison
New blood test could lead to more affordable cancer detection at earlier stages
New Computer Program Learns to Identify Mosaic Mutations That Cause Disease
University of California - San Diego
An artificial neural network was trained to spot tiny mutations in genetic sequences better and faster than human eyes
Dr. AI, What’s My Diagnosis?
Technion-Israel Institute of Technology
A Technion-developed deep-learning system looks at breast cancer scans better than a human ever could
Integrated BioAI Platforms Address Drug Development Bottlenecks
Isaac Bentwich, MD
From artificial intelligence to patients-on-chip, new technologies decrease reliance on animal testing
Genes to Potentially Diagnose Long-Term Lyme Disease Identified
Mount Sinai School of Medicine
Findings could lead to new diagnostics and treatments for the hard-to-detect condition
Unlocking Actionable Intelligence within the Clinical Lab
John Moyer
With the right knowledge, tools, and deployment, improved cost, quality, and patient care can be achieved
New Diagnostic Tool Could Deliver Health Test Results in Two Minutes
Swansea University
The tool could assist with testing by using artificial intelligence and machine learning