Some patients, following brain injury, do not outwardly respond to spoken commands, yet show patterns of brain activity that indicate responsiveness. This is 'cognitive-motor dissociation' (CMD). Recent research has used machine learning to diagnose ... read more
Artificial intelligence is currently changing many areas of society. Especially in health, where critical decisions are made, questions of control must be renegotiated: who is in control when an automated system makes clinically relevant decisions? I... read more
Fervent attention was paid to what is coined dual-use research (DUR), or research that can both benefit and harm humanity, and dual-use research of concern (DURC), a particular subset of DUR that is reasonably anticipated to be a safety and security ... read more
Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider-patient communication. However, some have raised the concern that such communication may adopt implicit communication norms... read more
Abiotic stresses such as heat waves significantly reduce wheat productivity by altering leaf anatomy and physiology, leading to reduced photosynthetic carbon assimilation and crop yield. Despite the advancement in various imaging technologies at the ... read more
The allocation of scarce healthcare resources inherently involves trade-offs between the interests of 'visible' and 'invisible' victims (ie, individuals who are aware that they are shortchanged by trade-offs and those who are not). At present, decisi... read more
Psychedelics can profoundly alter consciousness by reorganising brain connectivity; however, their effects are context-sensitive. To understand how this reorganisation depends on context, we collected and comprehensively analysed the largest psychede... read more
Recent advances in large language models (LLMs) have extended to genomic applications, yet model robustness relative to context is unclear. Here, we demonstrate two intrinsic biases (input sequence length and nucleotide position) affecting SegmentNT ... read more
Species-level maps of tropical forest canopies are needed for biodiversity monitoring, conservation planning, and carbon accounting, yet the structural complexity and species richness of these forests make remote classification challenging. Here we e... read more
Designing drugs that can restore a diseased cell to its healthy state is an emerging approach in systems pharmacology to address medical needs that conventional target-based drug discovery paradigms have failed to meet. Single-cell transcriptomics ca... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.