Operator learning is a recent development in the simulation of partial differential equations by means of neural networks. The idea behind this approach is to learn the behavior of an operator, such that the resulting neural network is an approximate... read more
International journal of surgery (London, England)
Jan 20, 2026
BACKGROUND: Injury to the ureter and bladder during minimally invasive hysterectomy remains a serious complication, often resulting from insufficient intraoperative organ recognition. Artificial intelligence (AI)-based support systems may improve ana... read more
The concept of logical neural networks, proposed by McCulloch and Pitts, along with Hebb's postulate of learning-specifically, spike-timing-dependent plasticity (STDP), has had a substantial influence on the development of brain-inspired computing re... read more
This data article presents a dataset of miniplant-scale reverse water-gas shift (rWGS) experiments conducted in a heated fixed-bed reactor under systematically varied operating conditions. The dataset contains processed measurements including reactor... read more
The ConcreteCARB dataset provides a comprehensive repository of 903 high-resolution images of concrete surfaces evaluated using the phenolphthalein test for carbonation detection. This data was collected under controlled laboratory conditions and aim... read more
This dataset presents a valuable compilation of question-answer (QA) pairs derived from cultural texts and sources related to Durga mythology. A total of 21,395 QA pairs, encompassing textual materials such as scriptures, ritual narratives, temple in... read more
The arrival of AI in medical biology is inevitable, and in many ways these tools are already in use in our laboratories. Given this observation, it was determined that it was imperative for the French Society of Clinical Biology to offer a set of res... read more
Objective.Precise segmentation and quantification of nerve morphology from imaging data are critical for designing effective and selective peripheral nerve stimulation (PNS) therapies. However, prior studies on nerve morphology segmentation suffer fr... read more
Journal of the American Medical Directors Association
Jan 20, 2026
Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term care settings and are associated with adverse health outcomes. Existing psychosocial interventions often face challenges related to scalability and susta... read more
The BBB remains a major obstacle to effective treatment of CNS disorders by limiting the entry of most therapeutics into the brain. The hCMEC/D3 is widely used as anin vitromodel to study BBB structure, permeability, and drug transport. In parallel, ... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.