Results 191 to 200 of about 6,611,752 (262)

A minimal physiologically‐based pharmacokinetic modeling platform to predict intratumor exposure and receptor occupancy of an anti‐LAG‐3 monoclonal antibody

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 460-473, March 2025.
Abstract In oncology drug development, measuring drug concentrations at the tumor site and at the targeted receptor remains an ongoing challenge. Positron emission tomography (PET)‐imaging is a promising noninvasive method to quantify intratumor exposure of a radiolabeled drug (biodistribution data) and target saturation by treatment doses in vivo ...
Robin Michelet, Klas Petersson, Marc C. Huisman, C. Willemien Menke‐van der Houven van Oordt, Iris H. C. Miedema, Andrea Thiele, Ghazal Montaseri, Alejandro Pérez‐Pitarch, David Busse   +8 more
wiley   +1 more source

Machine learning-guided risk stratification for long QT syndrome genetic variants with hiPSC-derived cardiomyocytes. [PDF]

Cardiovasc Res
Khudiakov A, Mura M, Giannetti F, Leonov V, Alberio C, Eskandr M, Lonati PA, Borghi MO, Brink PA, Crotti L, Gnecchi M, Schwartz PJ, Sala L.   +12 more
europepmc   +1 more source

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

Extravascular Implantable Cardioverter-Defibrillator Therapy for Malignant Ventricular Arrhythmias in a Child with Congenital Long QT Syndrome: A Case Report. [PDF]

J Cardiovasc Dev Dis
Sun X, Wang H, Wang Y, Gong F, Ying L, Wang W.   +5 more
europepmc   +1 more source

Integrative Approaches in Cardiovascular Disease: The Role of Nutraceuticals in Heart Failure, Atrial Fibrillation, and Related Conditions

Phytotherapy Research, EarlyView.
Schematic representation of the shared pathophysiological mechanisms underlying heart failure (HF) and atrial fibrillation (AF), including inflammation, oxidative stress, endothelial dysfunction, and fibrosis. The figure highlights the clinical and mechanistic convergence of conventional pharmacological therapies and selected nutraceuticals in ...
Laura Beatrice Mattioli, Ivan Corazza, Roberta Budriesi, Luca Camarda, Maria Carelli, Alberto Spadotto, Igor Diemberger   +6 more
wiley   +1 more source

Modeling ventricular tachycardia in genetic long QT syndrome using engineered cardiac tissues. [PDF]

Bioact Mater
Zhuang RZ, Doufexi G, Yehya M, Morsink MAJ, Liao X, Ben-Johny M, Vunjak-Novakovic G.   +6 more
europepmc   +1 more source

Plant‐Derived Natural Product Nanodelivery System in Cancer Therapy

Phytotherapy Research, EarlyView.
This review comprehensively summarizes the recent progress and emerging concepts in nanotechnology‐based delivery systems for plant‐derived natural products, with a particular focus on their application in precision cancer therapy. ABSTRACT Plant‐derived natural products have emerged as important sources of anticancer agents because of their diverse ...
Changqi Shi, LuLu Zhang, Lan Yan, Qi Geng, Li Li, Xiaojuan He, Ning Zhao, Yong Tan, Xiaomeng Zhang, Cheng Lu   +9 more
wiley   +1 more source

Perinatal management of congenital long QT syndrome: A case of maternal and fetal manifestations. [PDF]

HeartRhythm Case Rep
da Silva Lopes M, Dias J, Ferreira I, Silva CM, Ramalho AR, Rosmaninho-Salgado J, Amaral ME, Andrade H, Martins P, Pires A.   +9 more
europepmc   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source