Global Intelligence Database
A new review explores how patient-specific bioprinting and organ-on-chip technologies are replacing static lab tests, offering a dynamic way to predict how tumours spread and resist treatment.
By Di Carlo
Obstructive sleep apnoea affects a billion people, but over 80% go undiagnosed due to labour-intensive testing. A major new analysis of high-quality evidence reveals that artificial intelligence, particularly neural networks, can diagnose the condition from complex sleep data with excellent accuracy.
By Rani, Gao, Ong, Tan, Ng, Leong, Phua, Ong, Leow, Huang, Tan, Toh
A major review of research finds artificial intelligence is making emergency care faster and more accurate across triage, diagnosis, and workflow optimisation. While AI shows clear clinical benefits, its widespread adoption is held back by significant technical, ethical, and legal challenges that must be addressed.
By Almagharbeh WT, Alharrasi M, Khan Rony MK, Kabir S, Alrazeeni DM, Akter F.
Researchers evaluated a traditional ayurvedic formulation using molecular docking, lab tests, and clinical trials. The data measured accelerated patient recovery and reduced viral load, suggesting computationally screened plant-based medicines could serve as effective complementary therapies in future outbreaks.
By Patsute, Ganeshacharya, Singh, Rananaware, Thakur, Rajoria, Singh, Singh
Researchers have utilised advanced mass spectrometry to map protein changes in the brains of deceased heroin users. The study identifies significant alterations in proteins related to oxidative stress and neurodegeneration, suggesting that addiction causes structural cellular damage beyond simple receptor adaptation.
By Sürmen, Pence, Sürmen, Buyuk, Kuras, Elibol, Pence