Results 171 to 180 of about 11,006,319 (257)

Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

Advanced Science, EarlyView.
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li, Zhongguo Ren, Yiliang Lin, Xianfeng Xia, Tianlong Li, Kai Fung Chan, Philip Wai Yan Chiu, Wei Peng Yong, Mengmeng Sun   +8 more
wiley   +1 more source

Lipidomic Profile Reconstruction of Therapeutic Membrane Targets Using Physics‐Based Optimization with Limited Activity Data

Advanced Science, EarlyView.
Using a minimal set of experimentally labeled antimicrobial and non‐antimicrobial peptides, we reconstruct the effective lipid composition of a pathogenic membrane ‐demonstrated at the example of bacterial membranes‐ through a physics‐based evolutionary molecular dynamics (Evo‐MD) approach. Optimization based on peptide insertion reveals broad‐spectrum
Maximilian Krebs, Herre Jelger Risselada
wiley   +1 more source

Zero-Shot Self-Supervised Learning of Single Breath-Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction. [PDF]

Magn Reson Med
Kim J, Nickel MD, Knoll F.
europepmc   +1 more source

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

A quantum multi-sensor data fusion self-supervised learning framework for IIoT anomaly detection. [PDF]

Sci Rep
Guo Y, Zhao P, Wang X, Wei X, Li X, Zhang E.   +5 more
europepmc   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Mitigating Spurious Invariance in Contrastive Learning: A Probabilistic Self-Supervised Learning Framework for Medical Image Analysis. [PDF]

IEEE Trans Med Imaging
Wei W, Yuan Y.
europepmc   +1 more source

A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators

Advanced Science, EarlyView.
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li, Alexander Yin, Alexander White, Sahib Sandhu, Anatol Gogoj, Denise Maria de Andrade, Matthew Francoeur, Victor Jimenez‐Santiago, Van Remenar, Codrin Tugui, Mihai Duduta   +10 more
wiley   +1 more source

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning. [PDF]

Sci Data
Cerri S, Munk A, Llambias SN, Ambsdorf J, Machnio J, Nersesjan V, Krag CH, Liu P, García PR, Mehdipour Ghazi M, Boesen M, Benros ME, Iglesias JE, Nielsen M.   +13 more
europepmc   +1 more source

Toward Material‐Specific Peptides From in Silico Guided Peptide Engineering to Target PET in the Presence of PS

Advanced Science, EarlyView.
This work presents a computational–experimental strategy to engineer material‐binding peptides toward polymer specificity. Molecular dynamics simulations identified residues driving polystyrene binding, enabling targeted substitutions that greatly reduced polystyrene affinity while preserving PET binding.
Julian Luka, Marian Bienstein, Jonas Berger, Ulrich Schwaneberg   +3 more
wiley   +1 more source