Results 171 to 180 of about 232,024 (305)

An efficient solution to Hidden Markov Models on trees with coupled branches. [PDF]

IEEE Trans Signal Process
Vafa F, Hormoz S.
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Preventing evolutionary rescue in cancer using two-strike therapy. [PDF]

Genetics
Patil S, Ahmed A, Viossat Y, Noble R.
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Bayesian reanalysis of early remdesivir for the treatment of COVID-19 in outpatients with high risk of progression to severe disease. [PDF]

PLoS One
Abdelghany M, Yu F, Rennard S, Gwon Y.
europepmc   +1 more source

Introduction to probability with statistical applications

, 2007
G. Schay
semanticscholar   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Neutrosophic New Odd Weibull-Weibull Distribution with Heart Pulse Count Data Application. [PDF]

F1000Res
A Noori N, A Khaleel M, W Faris R.
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
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, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Assessing SARS-CoV-2 transmission in African households from the reanalysis of serosurveys. [PDF]

Am J Epidemiol
Cristancho-Fajardo L, Nkuba-Ndaye A, Simons E, Hozé N, Guichet E, Izia YA, Ndongo FA, Mbala-Kingebeni P, Soumah AA, Muzinga J, Tshiminyi-Munkamba P, Diallo MSK, Bissek AZ, Makiala-Mandanda S, Toure A, Ahuka-Mundeke S, Ayouba A, Etard JF, Peeters M, Roche B, Nikolay B, Delaporte E, Cauchemez S.   +22 more
europepmc   +1 more source