Results 161 to 170 of about 10,962,280 (296)

Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae

Advanced Science, EarlyView.
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch, Muhammad D. Ariadi, Min Jung Kwun, Leonie Howells, Saiveth Hernandez‐Hernandez, Nicholas J. Croucher, Pedro J. Ballester   +6 more
wiley   +1 more source

Professionalism and mental health in medical and nursing students under prolonged virtual learning: a longitudinal study in Peru. [PDF]

BMC Med Educ
Gonzales Sota MH, Berduzco-Torres N, San-Martín M, Gonzalez-Álamos M, Vivanco L.   +4 more
europepmc   +1 more source

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

Advanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin, Ying Yang, Chuyao Zhou, Hanyue Mao, Zhiquan Zhang, Libangxi Liu, Xiaoying Yu, Haoming Liu, Long Liu, Xiaoyan Wang   +9 more
wiley   +1 more source

Advancing paramedical education through virtual learning platforms: A quantitative study at AJA University of Medical Sciences. [PDF]

J Educ Health Promot
Najafi Shahvalad Sofla P, Mehrabi N, Kazemi-Galougahi MH, Gholamhosseini L, Rezayi S.   +4 more
europepmc   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Reimagining Anatomy Education: The Potential of Virtual Learning. [PDF]

Cureus
Linkwinstar J, Ashraf I, Noor Chaudhry K, Jery G, Saleem N, Akhlaq H.   +5 more
europepmc   +1 more source

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

Advanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang, Pengfei Dang, Yuan Tian, Zhengwang He, Wei Gu, Lixue Zhang, Turab Lookman, Yumei Zhou, Dezhen Xue   +8 more
wiley   +1 more source

Modeling and multi-objective optimization of student engagement in virtual learning environments: a hybrid PDE-NSGA-II framework for digital music education. [PDF]

Front Psychol
Qiao X.
europepmc   +1 more source

A Bioinspired, Multimodal Soft Tactile Skin with Task‐Adaptive Perception for Intelligent Robotic Manipulation

Advanced Science, EarlyView.
Perception in robotic manipulation improves through the cooperative and complementary operation of biologically inspired multimodal tactile sensors. Receptor‐specific contribution analysis identifies which sensing modalities are required for specific tactile tasks.
Yu‐Jin Lee, Hyeonung Kang, Ju Yeon Woo, Daekyum Kim, Chang‐Soo Han   +4 more
wiley   +1 more source

Patient perspectives on barriers to care and the perceived value of a direct-to-patient virtual learning program for chronic intestinal failure. [PDF]

Intest Fail
Fisher E, Winkler M, Nair M, Ballog PB, Nisenholtz M, Yiannoutsos CT, Friebel R, Iyer KR.   +7 more
europepmc   +1 more source