Results 101 to 110 of about 4,985,011 (220)
Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI) -- JUN 10-14, 2017 -- Denver, CO[Abstract Not Available]Soc Nucl Med & Mol ...
Elgazzar, Abdelhamid +3 more
core +1 more source
This review summarizes the developments in field‐effect transistor (FET)‐based dual‐mode sensor platforms and what can be learned from them. It identifies charge as a crucial factor in biomolecular interactions at interfaces, outlines the challenges of hybrid systems, and highlights their benefits.
Roger Hasler +4 more
wiley +1 more source
Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate
Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino +14 more
wiley +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Strategic incorporation of unnatural amino acids transforms macrocyclic peptides into drug‐like molecules capable of engaging challenging targets. These building blocks enhance stability, permeability, and bioavailability, accelerating the development of next‐generation peptide therapeutics.
Krishna K. Sharma +5 more
wiley +2 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
1,8‐DHN is an important intermediate to form complex aromatic ring systems. Phenol‐coupling reactions are important for the dimerization of two molecules. Here, we show that a fungal cytochrome P450 enzyme catalyzes specific C─C bonds. ABSTRACT Dihydroxynaphthalene (DHN) derivatives are precursors of biologically important molecules, including melanin ...
Jia Gao +8 more
wiley +2 more sources
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Cobalt‐Catalyzed C─N Bond Formation via Metal‐Hydride Hydrogen Atom Transfer (MHAT)
Cobalt‐catalyzed metal‐hydride hydrogen atom transfer (Co‐MHAT) converts simple alkenes into C─N bonds under mild, near‐neutral conditions. A shared Co─H‐initiated radical/organocobalt intermediate is channeled into radical trapping, radical‐polar crossover, or radical ligand transfer, unifying hydroamination, hydroazidation, hydroamidation, and remote
Arman Khosravi, Ming‐Yu Ngai
wiley +2 more sources

