Results 231 to 240 of about 7,532,149 (298)

Localization of Organelle Proteins Using Data-Independent Acquisition (DIA-LOP). [PDF]

Mol Cell Proteomics
McCaskie K, Hutchings C, Feret R, Kim YI, Breckels L, Deery M, Lilley K.   +6 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Recent clinical advances in fibroblast activation protein targeted radioligand therapy for solid tumors. [PDF]

Front Nucl Med
Wu X, Wang Y, Li Y, Hu W.
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

Transcript-independent quantitative analysis of RNA cap structures by LC-MS/MS. [PDF]

Mol Ther Adv
Kilburn R, Gomez RC, Evans S.
europepmc   +1 more source

The liver‐brain axis: A multidimensional regulatory network implicated in Alzheimer's disease pathogenesis and clinical implications

Animal Models and Experimental Medicine, EarlyView.
Schematic diagram of the core pathways of the liver‐brain axis in regulating AD. The liver regulates cerebral Aβ deposition, tau phosphorylation, and neuroinflammation through pathways such as metabolic detoxification (urea cycle, ketone body metabolism, glutathione antioxidant system), molecular secretion (APOE, CRP, FGF21, IGF‐1), and Aβ clearance ...
Ning Zhang, Wei Chen, Meng Wang
wiley   +1 more source

Radionuclide‑drug conjugates in lung cancer: advances in precision therapy and clinical translation. [PDF]

Mol Cancer
Liu J, Zuo X, Yang X, Wang X, Gan L, Xue J.   +5 more
europepmc   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Single-cell and spatial omics of metabolic-immune ecosystems in prostate cancer: from androgen signaling to therapy resistance. [PDF]

Front Immunol
Wang R, Li Y, Wang X.
europepmc   +1 more source