Results 261 to 270 of about 1,981,486 (333)

Artificial intelligence for autoimmune diseases. [PDF]

NPJ Digit Med
Mahajan A, LaChance AH, Rodman A, Chung L, Powell D.   +4 more
europepmc   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Artificial Intelligence in cardiopulmonary resuscitation training - A scoping review. [PDF]

Resusc Plus
de Raad T, Chakroun-Walha O, Leslie B, Greif R, Nabecker S.   +4 more
europepmc   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

Advanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang, Zehui Lv, Xuejie Cai, Yingjie Wang, Bo Peng, Haojing Xu, Hualuo Pang, Xingdong Yang, Jiawei Xu, Yixin Bian, Bin Feng, Peng Wen, Yufeng Zheng, Xisheng Weng   +13 more
wiley   +1 more source

Advances in Artificial Intelligence for Plant Research. [PDF]

Plants (Basel)
Zhou G, Li L, Chen X.
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Artificial intelligence for quantum computing. [PDF]

Nat Commun
Alexeev Y, Farag MH, Patti TL, Wolf ME, Ares N, Aspuru-Guzik A, Benjamin SC, Cai Z, Cao S, Chamberland C, Chandani Z, Fedele F, Hamamura I, Harrigan N, Kim JS, Kyoseva E, Lietz JG, Lubowe T, McCaskey A, Melko RG, Nakaji K, Peruzzo A, Rao P, Schmitt B, Stanwyck S, Tubman NM, Wang H, Costa T.   +27 more
europepmc   +1 more source