Results 161 to 170 of about 1,282,583 (256)

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Microfluidic Molecular Diagnostic Chips: Functional Modules, Integration Strategies, and Emerging Applications

Small Methods, EarlyView.
This comprehensive review delivers an engineering‐centric analysis of microfluidic molecular diagnostic chips, breaking them down into foundational modules from fluid manipulation to bio‐sensing. Beyond chip design, it evaluates sample‐to‐answer integration strategies and commercial readiness levels.
Donghoon Koo, Egor Kokin, Sangyul Baik, Chanyong Park, Minji Kim, Jeongmin Kim, Ryungeun Song, Hosub Lim   +7 more
wiley   +1 more source

Roadmap on singular optics and its applications. [PDF]

Appl Phys B
Balasubramaniam GM, Allam SR, Anand V, Ansari MH, Arockiaraj FG, Arnon S, Badavath PS, Baliyan M, Bouchal P, Bouchal Z, Choudhary S, Dorrah AH, Duan Y, Everts K, Forbes A, Foreman MR, Gailevičius D, Gautam A, Gbur G, Gopinath S, Joshi N, Juodkazis S, Korotkova O, Kukli K, Kupferman J, Kumar P, Kumar R, Kumar V, Manavalan G, Mehra A, Nishchal NK, Omatsu T, Peters C, Reddy ANK, Reddy SG, Rodríguez-Fajardo V, Rosales-Guzmán C, Rosen J, Sarita, Shikder A, Singh RK, Su X, Tamm A, Velagala G, Viewegh P, Vilardell EP, Willner AE, Xavier API, Yadav A, Zhou H.   +49 more
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Wavelet Transform-Based Atomic Force Microscopy: A Computational Paradigm for Dynamic Nanoscale Imaging and Characterisation. [PDF]

Small Sci
Biglarbeigi P, Soin N, Kumar A, Finlay D, Payam AF.   +4 more
europepmc   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials. [PDF]

Adv Sci (Weinh)
Yang Z, Li M, Xie X, Chen A, Bifano TG, Zhang X.   +5 more
europepmc   +1 more source

Salient Object Detection in Complex Weather Conditions via Noise Indicators

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Salient object detection (SOD), a foundational task in computer vision, has advanced from single‐modal to multi‐modal paradigms to enhance generalisation. However, most existing SOD methods assume low‐noise visual conditions, overlooking the degradation of segmentation accuracy caused by weather‐induced noise in real‐world scenarios.
Quan Chen, Xiaokai Yang, Tingyu Wang, Rongfeng Lu, Xichun Sheng, Yaoqi Sun, Chenggang Yan   +6 more
wiley   +1 more source

Pseudo-differential operators and generalized random fields over tori. [PDF]

J Pseudodiffer Oper Appl
Escobar N.
europepmc   +1 more source

Learning lattice parameters from powder X‐ray diffraction data using invariants

Acta Crystallographica Section A, EarlyView.
We introduce a smooth, invariant representation of the reciprocal lattice which avoids the discontinuities of unit‐cell parameterizations, and show it improves machine‐learned lattice parameter prediction from powder X‐ray diffraction data.We present a machine learning (ML) method to determine unit‐cell parameters from powder X‐ray diffraction (XRD ...
Elyssa Hofgard, Kyucheol Min, Nofit Segal, David W. Mittan-Moreau, Aria Mansouri Tehrani, Vanessa Oklejas, Rafael Gómez-Bombarelli, Jigyasa Nigam, Daniel W. Paley, Aaron S. Brewster, Tess Smidt   +10 more
wiley   +1 more source