Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Probing the potential of rare earth elements in the development of new anticancer drugs: single molecule studies. [PDF]
Batista JAD +6 more
europepmc +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Actinium-225/Bismuth-213 as Potential Leaders for Targeted Alpha Therapy: Current Supply, Application Barriers, and Future Prospects. [PDF]
Nawar MF +8 more
europepmc +1 more source
Spectroscopic Evidence of Edge‐Localized States in an Antiferromagnet Topological Insulator NdBi
Using spin‐polarized scanning tunneling microscopy (STM) in conjunction with quasiparticle interference, we successfully identify distinct signatures of the ferromagnetic and antiferromagnetic terminations in NdBi, a rare‐earth monopnictide exhibiting non‐trivial topology and magnetism. We demonstrate that step edges on ferromagnetic surfaces host well‐
Avior Almoalem +8 more
wiley +1 more source
Total Synthesis of (+)-Malbrancheamide B Employing a Bioinspired Strategy. [PDF]
Bosi MA, Pohl R, Jahn U.
europepmc +1 more source
New High‐Tc Charge‐Transfer Multiferroicity in the Quasi‐2D Antiferromagnet CrSbS3
ABSTRACT Low‐dimensional magnets, particularly 2D systems, offer a rich platform for realizing unconventional multiferroic mechanisms, especially when multiple polarization channels coexist. In the quasi‐2D antiferromagnet CrSbS3, which crystallizes in the centrosymmetric orthorhombic space group Pnma and orders magnetically at TN ≈ 90 K, two ...
Hung‐Cheng Wu +17 more
wiley +1 more source
Trees vs neural networks for enhancing tau lepton real-time selection in proton-proton collisions. [PDF]
Yaari M +6 more
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Measuring the Elusive Half-Life of Samarium-146. [PDF]
Johnson-Groh M.
europepmc +1 more source

