Older Canadian adults whose physicians prescribe first-generation antihistamines in the hospital are more likely to experience delirium.
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
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Machine learning advances human-centric drug toxicity prediction
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of ...
The author, from Reimagine Care, discusses how AI can enhance oncology care by prioritizing patient needs, fostering trust, ...
For the second year running, Pfizer has arrived at the European Society for Medical Oncology (ESMO) conference armed with data showing its one-time heart failure hopeful ponsegromab can treat a ...
SNS Insider projects the U.S. Agentive AI in Healthcare Market to grow from USD 200.22 Million in 2024 to USD 3957.44 Million by 2032, at a CAGR of 45.16%.Austin, Nov. 07, 2025 (GLOBE NEWSWIRE) -- ...
A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.
During the 6-year period, 199 new indications for solid tumors were approved by the FDA; 138 (69.3%) were also approved by EMA and 124 (62.3%) by ANVISA. Discrepancies between approved labels and the ...
Early-stage lung adenocarcinoma alters DNA methylation, mRNA transcription, and protein expression in adjacent tissues, exhibiting either steep changes at the tumor boundaries or shallow changes ...
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