AI-Driven Tool Reliably Diagnoses Blood Disorders
DKFZ German Cancer Research Center
Trained on patient data, the open-source algorithm can aid hematological diagnoses and even genetic analyses
Machine Learning
When Your Data Is Too Much to Process, Turn to AI/ML
Genomenon Inc.
Many clinical programs can benefit from AI/ML software to remove initial legwork
New AI RNA Sequencing Tool May Simplify Gene Discovery
Agency for Science, Technology and Research (A*STAR)
The long-read sequencing tool accurately identifies and quantifies new, relevant transcripts in any genome
AI Model Predicts Consequences of Gene Modifications
Gladstone Institutes
Researchers trained a computer model to understand the gene networks and how they go awry in disease conditions
Brain Processes Acute and Chronic Pain Differently: Early Studies
National Institutes of Health
Study shows preliminary results that could lead to new pain treatments and help improve quality of life in individuals
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
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