Results 191 to 200 of about 228,098 (300)

Routine RNA-based analysis of potential splicing variants facilitates genomic diagnostics and reveals limitations of in silico prediction tools. [PDF]

HGG Adv
Drost M, Dekker J, Ferraro F, Kasteleijn E, Verschuren M, Kroon E, Douben HCW, Vogt I, van Unen L, Hoogeveen-Westerveld M, Elfferich P, Schot R, Calandrini C, Korpershoek E, Sleutels F, Brüggenwirth HBR, Hollink IR, Meerstein-Kessel L, Hoefsloot LH, van Slegtenhorst M, Wilke M, Weerts MJA, van Minkelen R, Wagner A, Bouman A, van Paassen BW, Verheijen-Mancini GM, van de Laar IMBH, Kievit AJA, Verhagen JMA, Stuurman KE, Donker Kaat L, van Dooren MF, Wessels MW, Oldenburg RA, Zeidler S, van Dijk T, Barakat TS, Verhoeven VJM, van Bever Y, van Ierland Y, Bannink N, van Koningsbruggen S, Lakeman P, Leeuwen L, Verbeek NE, Sinnema M, Heijligers M, van Asperen CJ, Saris JJ, Nellist M, van Ham TJ.   +51 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Identification of silibinin and isotretinoin as potent up-regulators of sFRP4 (Wnt antagonist): In silico prediction and in vitro validation in breast cancer. [PDF]

PLoS One
Ramzan R, Bukhari SA, Rasul A.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

In silico prediction of GRP78-CRIPTO binding sites to improve therapeutic targeting in glioblastoma. [PDF]

Sci Rep
Rashwan ME, Ahmed MR, Elfiky AA.
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

In silico prediction method for plant Nucleotide-binding leucine-rich repeat- and pathogen effector interactions. [PDF]

Plant J
Fick A, Fick JLM, Swart V, van den Berg N.   +3 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Alternative splicing analysis in a Spanish ASD (Autism Spectrum Disorders) cohort: in silico prediction and characterization. [PDF]

Sci Rep
Dominguez-Alonso S, Tubío-Fungueiriño M, González-Peñas J, Fernández-Prieto M, Parellada M, Arango C, Carracedo A, Rodriguez-Fontenla C.   +7 more
europepmc   +1 more source