Results 211 to 220 of about 228,098 (300)

Microrobotic Catheterization of the Ophthalmic Artery for Targeted Treatment of Retinoblastoma

Advanced Intelligent Systems, EarlyView.
A microrobotic platform is presented that allows teleoperated and autonomous navigation of flow‐driven magnetic microcatheters, MagFlow, into the ophthalmic artery for superselective intra‐arterial infusion of chemotherapy to treat retinoblastoma. Extensive benchtop validations with patient‐derived biomimetic phantoms under optical and fluoroscopic ...
Artur Banach, Mehdi Krichen, Julian Raub, Christina Stathopoulos, Bruno Bartolini, Mahmut Selman Sakar   +5 more
wiley   +1 more source

In Silico Prediction of Alkaline Phosphatase Interaction with the Natural Inhibitory 5-Azaindoles Guitarrin C and D. [PDF]

Molecules
Seitkalieva A, Noskova Y, Isaeva M, Guzii A, Makarieva TN, Fedorov S, Balabanova L.   +6 more
europepmc   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

Advanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova, Alexandra Parichenko, Shirong Huang, Santiago Melia, Gianaurelio Cuniberti   +4 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Blood-based biomarkers for early frailty are sex-specific: validation of a combined in silico prediction and data-driven approach. [PDF]

Geroscience
de Jong JCBC, Caspers MPM, Dulos R, Snabel J, van der Hoek MD, van der Leij FR, Kleemann R, Keijer J, Nieuwenhuizen AG, van den Hoek AM, Verschuren L.   +10 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

In silico prediction of differentially expressed genes and functionally grouped networks in patients with inflamed pulp for screening pulpitis biomarkers. [PDF]

Eur Oral Res
Asadzadeh A, Shams Moattar F, Moshfegh A.   +2 more
europepmc   +1 more source

Dissecting Pirtobrutinib Resistance in Mantle Cell Lymphoma Through Single‐Cell Multi‐Omics

American Journal of Hematology, EarlyView.
ABSTRACT Pirtobrutinib (PBN), a non‐covalent BTK inhibitor, has been approved by the FDA for relapsed/refractory mantle cell lymphoma (MCL); however, resistance to PBN has been observed. To dissect the molecular dynamics driving PBN resistance, we performed integrative single‐cell multi‐omic profiling (scRNA‐seq, scATAC‐seq, and scDNA‐seq) on ...
Fangfang Yan, Yang Liu, Heng‐Huan Lee, Wei Wang, Joseph McIntosh, Yijing Li, Jovanny Vargas, Yue Fei, Sairah Ahmed, Lukas M. Simon, Michael Wang   +10 more
wiley   +1 more source

Optimizing Diagnostic Accuracy of Clinical Red Flags in RASopathies

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS‐mitogen‐activated protein kinase (RAS–MAPK) signaling pathway, often presenting with congenital heart defects, craniofacial dysmorphisms, and developmental delays. To assess the diagnostic yield of genetic testing in patients with suspected RASopathies and to
Emanuele Bobbio, Martina Caiazza, Emanuele Monda, Giustina Aruta, Alberto Budillon, Augusto Esposito, Adelaide Fusco, Annapaola Cirillo, Marta Rubino, Immacolata Viscovo, Gioacchino Scarano, Matteo Della Monica, Vincenzo Nigro, Giulio Piluso, Leandro Pecchia, Maria Giovanna Russo, Giuseppe Limongelli   +16 more
wiley   +1 more source

In silico prediction of pathogen's pandemic potential using the viral trait assessment for pandemics (ViTAP) model. [PDF]

PNAS Nexus
Jones CH, Beitelshees M, Williams BA, Hill AB, Welch VL, True JM.   +5 more
europepmc   +1 more source