Results 131 to 140 of about 456 (171)

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, Volume 38, Issue 32, 8 June 2026.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

What if eye...? Computationally recreating vision evolution. [PDF]

Sci Adv
Tiwary K, Young A, Tasneem Z, Klinghoffer T, Dave A, Poggio T, Nilsson DE, Cheung B, Raskar R.   +8 more
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, Volume 13, Issue 34, 19 June 2026.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

CEST MRI: Translational prospects for intervertebral disc degeneration - from basic research to clinical applications. [PDF]

J Orthop Translat
Chen R, Wang H, Li Y, Zhang G, Zhang X, Qu X, Bai W, Li Z, Wu Y, Liang S, Wangchen M, Li N, Kong P, Wei X.   +13 more
europepmc   +1 more source

Quantum Dots for Biomedical Biosensing, NIR‐II Bioimaging, and Phototherapy: Materials Design, Signal Transduction, and Translational Barriers

Advanced Science, Volume 13, Issue 33, 15 June 2026.
This review outlines bottom‐up and biomimetic fabrication strategies of quantum dots, and highlights their emerging applications in biosensing, multimodal bioimaging, and intelligent cancer theranostics. It further discusses key translational barriers and future perspectives for advancing QD‐based nanomedicine toward clinical implementation.
Jie Ju, Zhifang Liu, Xinran Gao, Wen Sun, Wei Fu, Yanfei Wang   +5 more
wiley   +1 more source

Spiking world model with multicompartment neurons for model-based reinforcement learning. [PDF]

Proc Natl Acad Sci U S A
Sun Y, Zhao F, Lyu M, Zeng Y.
europepmc   +1 more source

Wave Mechanics of Ciliary Proteins: Quantum‐Enabled Sensing and Energy Transfer in the “Cellular Antenna”

Aggregate, Volume 7, Issue 6, June 2026.
This review surveys eukaryotic cilia as putative quantum‐enabled sensory and regulatory centers. It highlights their multifaceted roles in the cell, focuses on the nontrivial roles of quantum mechanics in their membrane and cytoskeletal proteins, and introduces the essential building blocks enabling quantum properties to survive in the warm, wet, and ...
Daniel L. Bilezikian, Dylan Davidoff, Justin R. Caram, Thomas P. Fay, Aarat P. Kalra, Paul S. Weiss   +5 more
wiley   +1 more source

Computational Architectures for Precision Dairy Nutrition Digital Twins: A Technical Review and Implementation Framework. [PDF]

Sensors (Basel)
Rao S, Neethirajan S.
europepmc   +1 more source

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1465-1480, June 2026.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source

Prediction method of sugarcane important phenotype data based on multi-model and multi-task. [PDF]

PLoS One
Sun J, Sun C, Li Z, Qian Y, Li T.
europepmc   +1 more source