This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi +3 more
wiley +1 more source
The Liability for Damage Caused by the Use of Artificial Intelligence (AI) in Medicine. [PDF]
Matesa B, Masic I.
europepmc +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
A Study to Assess the Awareness and Attitudes Towards Artificial Intelligence (AI) Tools Among Medical Trainees and Practitioners. [PDF]
Chouhan K, Jangir K, Mathur M.
europepmc +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
Perception and challenges of artificial intelligence (AI) in Emergency Medicine: A multi-country study in Sub-Saharan Africa. [PDF]
Tadesse AZ +13 more
europepmc +1 more source
Unveiling the Artificial Intelligence (AI) Shift: Attitudes Toward and Utilization of AI Models Among Undergraduate Medical Students. [PDF]
Joshi HM, Shukla AB, Panchal PJ.
europepmc +1 more source
Beyond the Bedside in the Age of Artificial Intelligence (AI): Preserving the Humanistic Core of Nursing. [PDF]
Pasayan E.
europepmc +1 more source
Influencing public acceptance of artificial intelligence (AI) in healthcare delivery. [PDF]
Aras S +6 more
europepmc +1 more source
The potential, perils and pitfalls of Artificial intelligence (AI) in Assisted Reproductive Technologies (ART). [PDF]
Garg A, Seifer DB.
europepmc +1 more source

