Please provide your email address to receive an email when new articles are posted on . Machine learning methods combining pharmacogenomic biomarkers with baseline Disease Activity Score-28 joint ...
Researchers leveraged machine learning to predict which migraineurs may have better responses to nonsteroidal anti-inflammatory drugs (NSAIDs). Using machine learning (ML) researchers were able to ...
Development of a precision medicine technology based on artificial intelligence that predicts immunotherapy response in cancer patients. Immunotherapy is a new cancer treatment that activates the body ...
Changes in ferritin, lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), albumin, total white cell count (TWC), absolute lymphocyte count (ALC), and absolute eosinophil count were ...
A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either ...
Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...
Neoadjuvant ipilimumab and nivolumab in combination with paclitaxel following anthracycline-based chemotherapy in patients with treatment resistant early-stage triple-negative breast cancer (TNBC): A ...
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends and to the robotics systems powering automation. They're also inside more ...
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