Results 131 to 140 of about 27,096 (228)

Population Structure and Genetic Diversity Analyses Reveal Isolation That May Imperil the Northernmost Colony of the Endangered Australian Sea Lion

Ecology and Evolution, Volume 16, Issue 2, February 2026.
Rapid warming of marine environments is threatening ecosystems, especially species at the edge of their range. This study analysed the genetic structure and diversity of Australian sea lion populations and found the northernmost population to be highly isolated with extremely low genetic variation.
Vanessa Morris, Anthony Chariton, Robert Harcourt, Catherine E. Grueber, Isabelle Charrier, Holly Raudino, Kelly Waples, Roger Kirkwood, Simon D. Goldsworthy, Benjamin J. Pitcher   +9 more
wiley   +1 more source

Current Trends in Duchenne Muscular Dystrophy Research and Therapy: 3D Cardiac Modelling

Journal of Cachexia, Sarcopenia and Muscle, Volume 17, Issue 1, February 2026.
ABSTRACT Duchenne muscular dystrophy (DMD), caused by dystrophin deficiency, presents a multifaceted challenge that affects both skeletal muscle function and cardiomyocyte homeostasis, causing progressive degeneration and life‐threatening cardiac complications by adolescence.
Marta Przymuszała, Marta Białobrzeska, Józef Dulak, Urszula Florczyk‐Soluch   +3 more
wiley   +1 more source

Progress in RNA‐Targeted Therapeutics for Human Diseases

MedComm, Volume 7, Issue 2, February 2026.
RNA‐targeted therapies are revolutionizing molecular medicine by transitioning from a “protein‐centric” focus to an “RNA‐regulatory network” approach. Leveraging RNA's diverse roles in gene regulation, signaling, and epigenetic modifications, advanced platforms such as ASOs, siRNA, miRNA, mRNA, aptamers, shRNA, and CRISPR/Cas systems are enabling ...
Wangzheqi Zhang, Aimin Jiang, Bin‐Kui Jia, Yuming Jin, Yinghu Chen, Zhaoyu Li, Yan Liao, Haoling Zhang, Zhiheng Lin, Xiao Fang, Linhui Wang   +10 more
wiley   +1 more source

A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization

Medical Physics, Volume 53, Issue 2, February 2026.
Abstract Background Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a complex, high‐dimensional problem typically solved with inverse planning solutions that are both temporally and computationally expensive. While machine learning techniques have been explored to automate this process, they often supplement rather than ...
Nathan Shaffer, Avinash Reddy Mudireddy, Joel St‐Aubin   +2 more
wiley   +1 more source

Generation of 3D reference dosimetric datasets towards adoption of model‐based dose calculations for permanent implant prostate brachytherapy

Medical Physics, Volume 53, Issue 2, February 2026.
Abstract Purpose This work aims to create and validate a comprehensive set of test cases and 3D reference dosimetric datasets for model‐based dose calculation algorithms (MBDCAs) in permanent implant prostate brachytherapy. These test cases address the limits of the standard TG‐43 formalism towards improving dose evaluations in prostate cancer ...
Fatemeh Akbari, Vasiliki Peppa, Samuel Ouellet, Narjes Moghadam, Sandra Oliver, Vicent Gimenez‐Alventosa, Luc Beaulieu, Javier Vijande, Rowan M. Thomson   +8 more
wiley   +1 more source

A Multiresponse Image Fusion for High Dynamic Range CMOS Image Sensor Combining Dual Conversion Gain and Logarithmic Response

IET Circuits, Devices and Systems
This article introduces a multiresponse image fusion method tailored for a high dynamic range (HDR) CMOS image sensor (CIS), which combines dual conversion gain (DCG) and logarithmic responses within a single exposure.
Shanshan Lou, Chunyan Li, Qian Jiang, Botao Xiong, Yuchun Chang   +4 more
doaj   +1 more source

Improving HER2 Diagnostics with Digital Real‐Time PCR for Ultrafast, Precise Prediction of Anti‐HER2 Therapy Response in Patients with Breast Cancer

Small Methods, Volume 10, Issue 3, 9 February 2026.
This study presents a novel, clinically feasible HER2 testing method using a fully automated digital real‐time PCR platform. It enables real‐time absolute quantification of ERBB2 copy number alterations for rapid, simple, and accurate assessment of HEgR2 status, thereby overcoming the limitations of conventional testing and improving prediction of anti‐
Hee‐Joo Choi, Soo Young Park, Minsik Song, Jinhyuk Chang, YoonSik Kim, Hosub Park, Chihwan David Cha, Sohyeon Yang, Nam Hun Heo, Min Ji Song, Da Sol Kim, Hayeon Kim, Minuk Kim, Jae Eun Park, Yesung Lee, EunChae Ji, Heekyoung Chung, Ilecheon Jeong, Mineui Hong, Jin‐Wu Nam, Mee‐Hye Oh, Ji‐Hye Lee, Jinwoo Seol, Hee‐Young Won, Hyun‐Woo Song, Jaewon Eom, Do Young Lee, Han Suk Ryu, Si‐Hyong Jang, Jeong‐Yeon Lee   +29 more
wiley   +1 more source

Intrinsic Single-Image HDR Reconstruction

Accepted for ECCV ...
Sebastian Dille, Chris Careaga, Yağız Aksoy   +2 more
openaire   +2 more sources

PSMA PET‐directed radiotherapy for prostate cancer: From precision planning to future innovations

VIEW, Volume 7, Issue 1, February 2026.
Prostate‐specific membrane antigen (PSMA) positron emission tomography (PET) imaging enables highly sensitive detection of prostate cancer recurrence and precise lesion mapping. This review summarizes current evidence and emerging applications of PSMA PET in radiotherapy, including diagnostic staging, target delineation, adaptive planning, and outcome ...
Wenpeng Huang, Jessica C. Hsu, Ruobing Li, Kexin Lan, Xin Qi, Yuchun Wei, Weibo Cai, Hongzhen Li   +7 more
wiley   +1 more source

Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME‐driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere or corona, that propagate outward into the interplanetary space.
Oleg Stepanyuk, Kamen Kozarev
wiley   +1 more source