Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
Neuroblastoma is the most common solid tumor in infants and accounts for nearly 15% of all pediatric cancer-related deaths. Despite decades of progress in surgery, chemotherapy, and stem cell ...
A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, ...
Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
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