Results 171 to 180 of about 2,470,158 (337)
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
Cytochrome P450 Complement May Contribute to Niche Adaptation in Serpula Wood-Decay Fungi. [PDF]
Cowan A, Skrede I, Moody SC.
europepmc +1 more source
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou +4 more
wiley +1 more source
In vitro cell composition identification of wood decay fungi by Fourier transform infrared spectroscopy. [PDF]
Gupta BS, Jelle BP, Gao T.
europepmc +1 more source
Wood discoloration and decay in grapevines with esca proper and their relationship with foliar symptoms [PDF]
From two Italian vineyards affected with esca proper, vineyard A (Borghi, FC, Emilia-Romagna) and vineyard B (Controguerra, TE, Abruzzo), located in different wine-growing areas and with different cultivars, 165 vines were collected that had shown the ...
Calzarano, F., Di Marco, S.
core
“More” Artificial mRNAs: Beyond the Art of Nature
Inspired by nature yet transcending it, synthetic mRNA is being redesigned beyond the canonical architecture. This review highlights emerging forms—circular, branched, and self‐amplifying mRNAs—that expand stability, persistence, and functional control, illustrating how artificial mRNA is evolving into a new medium for programmable biological ...
Yuanzhe Cui +3 more
wiley +1 more source
Capturing an Early Gene Induction Event during Wood Decay by the Brown Rot Fungus Rhodonia placenta. [PDF]
Anderson CE +7 more
europepmc +1 more source
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
Characterizing the Assemblage of Wood-Decay Fungi in the Forests of Northwest Arkansas. [PDF]
Alshammari N +3 more
europepmc +1 more source

