The rapid growth of nanomedical trials calls for a unified lexicon to support clinical translation and foster collaboration ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...
A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...
Discover how machine learning is helping researchers identify different groups of chronic obstructive pulmonary disease (COPD) patients in China and understand how their health conditions impact daily ...
An experimental medicine from Cytokinetics improved exercise capacity more than a widely prescribed beta blocker in patients newly diagnosed with a common, inherited heart condition, study results ...
A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients ...
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Researchers develop tool to predict how patients will respond to common multiple sclerosis drug
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...
insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...
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