Results 171 to 180 of about 314,374 (299)

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

open access: yesAdvanced Science, EarlyView.
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li   +13 more
wiley   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

open access: yesAdvanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu   +9 more
wiley   +1 more source

Potent and Selective IGF‐IIR‐Recruiting Bifunctional Molecules for Targeted Lysosomal Degradation of Extracellular and Membrane Proteins

open access: yesAdvanced Science, EarlyView.
Lysosome‐targeting chimeras (LYTACs) enable degradation of extracellular and membrane proteins via lysosomal trafficking. We report a novel IGF‐II mutant (Del1–7, Y27L) that selectively engages IGF‐IIR while avoiding IGF‐IR and IR‐A. mutIGF‐II–based LYTACs enhance target internalization and degradation and support a genetically encodable, all‐protein ...
Yuan Zhao   +16 more
wiley   +1 more source

Quantitative Stain Mapping in X‐Ray Virtual Histology

open access: yesAdvanced Science, EarlyView.
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John   +16 more
wiley   +1 more source

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