Results 61 to 70 of about 3,659,418 (206)

GBS‐MeDIP: A method for the simultaneous identification of genetic and epigenetic variants in tumors

FEBS Open Bio, EarlyView.
GBS‐MeDIP combines DNA sequencing with enrichment of methylated DNA to profile genetic and epigenetic variation in the same reduced genomic fraction. Applied to gastric cancer and parathyroid tumors, it identifies sequence variants, copy number changes, and differentially methylated regions together, helping distinguish true epigenetic changes from ...
Fábio Pértille, Shiva Rezaei, Julia Uffenorde, Oliver Gimm, Mohammad Ali Hosseinpour Feizi, Luiz Lehmann Coutinho, Carlos Guerrero‐Bosagna   +6 more
wiley   +1 more source

Approximate Controllability of Higher-Order Hilfer Fractional Neutral Stochastic Systems Driven by Fractional Brownian Motion, Poisson Jumps, and Non-Instantaneous Impulses

Fractal and Fractional
This paper addresses the existence of mild solutions and the approximate controllability of a class of higher-order Hilfer fractional semi-linear neutral stochastic differential equations with non-instantaneous impulses in Hilbert spaces.
A. M. Sayed Ahmed, Taha Radwan, M. Elsaid Ramadan, Hamdy M. Ahmed   +3 more
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Stochastic control of influenza spread: A Lévy-driven SDE and branching process approach

Infectious Disease Modelling
Background: Forecasting influenza outbreaks remains a significant challenge due to the complexity of disease transmission and the influence of environmental and behavioral factors.
Kazi Mehedi Mohammad, Taufiquar Khan, Md Kamrujjaman   +2 more
doaj   +1 more source

Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea, Patrick Ellsworth, James E. Siegler, James R. Brorson, Christina M. Lineback, Frank G. Conyers, Deborah Kerrigan, Kelsey Eklund, Shadi Yaghi, Farid Khasiyev, Emiliya Melkumova, Collin J. Culbertson, Marissa D'Souza, Dinesh V. Jillella, Patrick Glover, Hassan Aboul‐Nour, Fadi Nahab, Mahan Shahrivari, Simona Nedelcu, David S. Liebeskind, Matthew M. Smith, Aaron Rothstein, Anna Bowman, Alicia Zha, Narendra Kala, Ahmad Abu Qdais, Sami Al Kasab, Mudassir Farooqui, Diana Rojas‐Soto, Yasmin Aziz, Franziska Herpich, Jean‐Philippe Daniel, Sean L. Thompson, Vivek Patel, Thanh N. Nguyen, Siddharth Sehgal, Wenzheng Yu, Wayneho Kam, Russel Van Coevering, Oana M. Dumitrascu, Muhammad Alvi, Balaji Krishnaiah, Setareh Salehi Omran, Guillermo Linares, Eesha Singh, Hamid Ali, Mary Penckofer, Jesse M. Thon, Shani Mannion, Dalia Chahien, Lucia Chen, Fawad Talat, Mehdi Abbasi, Richa Sharma   +53 more
wiley   +1 more source

Uncertainty quantification with Bayesian higher order ReLU-KANs

Machine Learning: Science and Technology
We introduce the first method of uncertainty quantification in the domain of Kolmogorov–Arnold Networks, specifically focusing on (Higher Order) ReLU-KANs to enhance computational efficiency given the computational demands of Bayesian methods. The method
J Giroux, C Fanelli
doaj   +1 more source

Portfolio optimization with stocks and option using ADI method: A hybrid stochastic -LSTM approach

Results in Control and Optimization
This paper addresses the portfolio optimization problem by incorporating European options under a stochastic local volatility model with long memory, modeled via mixed fractional Brownian motion.
Pouya Fakhraeipour, Farshid Mehrdoust, Alireza Najafi   +2 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Existence of Solutions of Impulsive Quantum Stochastic Differential Inclusion [PDF]

, 2015
In this study, we establish existence of solutions of impulsive Quantlllll Stochastic Differential Inclusion (QSDI).
Oguntunde, P.E., Bishop, S.A.
core  

Existence and Uniqueness of Solutions to SDEs with Jumps and Irregular Drifts

Axioms
We focus on solving stochastic differential equations driven by jump processes (SDEJs) with measurable drifts that may exhibit quadratic growth. Our approach leverages a space transformation and Itô-Krylov’s formula to effectively eliminate the singular ...
Mhamed Eddahbi
doaj   +1 more source