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 ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...

Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...

Doctors told him that his bowel just needed time to heal. “It got to the point where I couldn’t go out, because I would ...

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.