Results 131 to 140 of about 27,120 (259)

Accelerating Stroke MRI With Diffusion Probabilistic Models Through Large‐Scale Pre‐Training and Target‐Specific Fine‐Tuning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a data‐efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only limited fully‐sampled data are available. Methods Our simple training strategy first pre‐trains a DPM on a large, diverse collection of publicly ...
Yamin Arefeen, Sidharth Kumar, Steven Warach, Hamidreza Saber, Jonathan Isaac Tamir   +4 more
wiley   +1 more source

Effect of transcriptional delay on ribosome abundance control. [PDF]

J Math Biol
Perera PC, Pilyugin SS, Davis L, Gedeon T.   +3 more
europepmc   +1 more source

Deep Learning Improves Robustness of Voxelwise Kinetic Modeling for Hyperpolarized Carbon‐13 MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate whether deep learning improves the robustness of voxelwise kinetic parameter estimation from hyperpolarized (HP) 13C MRI compared with nonlinear least‐squares (NLLS) fitting. Methods A hybrid neural network (NN) was trained on synthetic pyruvate/lactate time courses generated from an open‐system two‐compartment HP 13C ...
Kofi Deh, Yeona Kang, Tsang‐Wei Tu, Rania Jones, Curtiland Deville, Rao Khan   +5 more
wiley   +1 more source

Design of Functionally Graded Alloys for Locks Highly Resistant to Ultrasonic Detector Attacks. [PDF]

Materials (Basel)
Matić L, Petošić A, Šunde V, Ban Ž.
europepmc   +1 more source

Intranasal diamorphine population pharmacokinetics modeling and simulation in pediatric breakthrough pain

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 435-447, March 2025.
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai, Jingchen Zhai, Beihong Ji, Fengyang Han, Taoyu Niu, Luxuan Wang, Junmei Wang   +6 more
wiley   +1 more source

Kv1.3 as an upstream regulator of oxidative stress-mediated neuroinflammation following organic dust exposure in murine <i>in vitro</i>, <i>ex vivo</i>, and <i>in vivo</i> models. [PDF]

Front Toxicol
Massey N, Bhat SM, Shrestha D, Malovic E, Karriker LA, Choudhary S, Robertson AP, Nguyen HM, Wulff H, Kanthasamy AG, Charavaryamath C.   +10 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

A predator-prey model with age-structured role reversal. [PDF]

J Math Biol
Suarez LC, Cameron MK, Fagan WF, Levy D.
europepmc   +1 more source

QSP Modeling Shows Pathological Synergism Between Insulin Resistance and Amyloid‐Beta Exposure in Upregulating VCAM1 Expression at the BBB Endothelium

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 561-571, March 2025.
ABSTRACT Type 2 diabetes mellitus (T2DM), characterized by insulin resistance, is closely associated with Alzheimer's disease (AD). Cerebrovascular dysfunction is manifested in both T2DM and AD, and is often considered as a pathological link between the two diseases.
Zengtao Wang, Vaishnavi Veerareddy, Xiaojiao Tang, Kevin J. Thompson, Sunil Krishnan, Krishna R. Kalari, Karunya K. Kandimalla   +6 more
wiley   +1 more source

A Hybrid Modeling Framework for Predictive Digital Twins of CHO Cell Culture. [PDF]

Comput Struct Biotechnol J
Richelle A, Andersson D, Antonakoudis A, Jakobsson J, Pijeaud S, Vernersson A, Trygg J.   +6 more
europepmc   +1 more source