Results 81 to 90 of about 597 (200)
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Background & Objective: One of the most current aggressive methods to access to blood vessels intravenous peripheral catheters that contains excess complications and prevention of it is one of important medical goals.
SR.Borzou (M.Sc) +4 more
doaj
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
An audit of intensive care services in Bangladesh
This study was conducted to survey the facilities, bed strength, functional characteristics, manpower, operational practices and distribution of intensive care units in Bangladesh.
Mohammad Omar Faruq +5 more
doaj
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
DNA‐mimic for Specific Surface Functionalization of Zr‐MOFs for Bacterial Targeting
We introduce phosphotyrosine‐modified PNA as a superior, single‐step post‐synthesis surface coating for PCN‐222. The DNA mimic allows for controlled post‐functionalization with single‐stranded DNA for the attachment of protein moieties for bacterial targeting. ABSTRACT Nanosized metal–organic frameworks (MOFs) are versatile platforms used in biomedical
Anna Scheeder +9 more
wiley +2 more sources
A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms +7 more
wiley +1 more source
Advances in BODIPY Derivatives for Antibacterial Phototherapy
This review systematically summarizes the design strategies and structure‐activity relationships of BODIPY‐based antibacterial phototherapy, covering molecular engineering of small‐molecule photosensitizers and nanoplatforms, bacterial targeting and carrier design, and discussing the challenges and future perspectives associated with clinical ...
Li Lv +9 more
wiley +2 more sources

