New ‘Lab of the Future’ Survey Reveals More than Half of Lab Professionals Reported Unplanned Downtime
MachineQ
Comcast’s MachineQ survey shows equipment failures and missed calibration schedules as drivers of unplanned downtime
Machine Learning
Two Key Genes Identified Linking Rheumatoid Arthritis and Osteoporosis
American Institute of Physics
The genes, involved in both diseases, could serve as targets for diagnosis and treatment
One in a Million: A Nationwide Diagnostics Strategy for Ultrarare Diseases
Zahraa Chorghay, PhD
Leveraging integrated healthcare frameworks can significantly reduce diagnostic delays
AI Promises to Ramp Up PCR Tests for Faster DNA Diagnostics and Forensics
Flinders University
Promising new inroads into critical DNA testing forecast by experts applying machine learning to DNA profiling
New ML Model Identifies Tumor-Reactive T Cells Quickly
German Cancer Research Center (Deutsches Krebsforschungszentrum)
icTCR helps identify suitable T cells from patient samples in under a few days, not months
AMA, Experts Condemn the Use of Race-Based Clinical Algorithms
Boston University School of Medicine
Survey results reveal that many institutions are taking steps but not concrete action against using race-based clinical algorithms
Machine Learning Model Accurately Predicts Liver Cancer Risk
University of California - Davis Health System
New algorithms developed by clinicians and data scientists could help personalize treatment
Deep Learning Model Noninvasively Predicts Gestational Diabetes Risk
BGI Genomics
The neural network was built to analyze the genes associated with GDM from cfDNA sequencing data
ML Models Help Build Early Diagnostic Test for Ovarian Cancer
Georgia Institute of Technology
Researchers combined ML with information on blood metabolites to develop a diagnostic test that detects ovarian cancer accurately
An AI-Based, User-Friendly Software Accurately Predicts Diseases
Rutgers University
Novel software analyzes the human genome to identify disease-causing biomarkers