Results 81 to 90 of about 1,302,906 (282)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Learning Machine Reasoning for Bioactivity Prediction of Chemicals [PDF]
We describe a method for learning higher-level vector representations of interactions between molecular features and biology. We named the representations as the reason vectors.
Suman, Chakravarti
core +1 more source
MLinvitroTox is an automated Python pipeline developed for high-throughput hazard-driven prioritization of toxicologically relevant signals detected in complex environmental samples through high-resolution tandem mass spectrometry (HRMS/MS). MLinvitroTox
Katarzyna Arturi +6 more
doaj +1 more source
A spatially controlled embedded bioprinting strategy enables precise engineering of prevascularized multicellular spheroids within skin‐derived dECM bioinks. Optimized spheroid size, composition, and spacing promote vascular maturation, paracrine signaling, and tissue integration, resulting in enhanced angiogenesis, blood perfusion, and functional skin
Minjun Ahn +6 more
wiley +1 more source
Estimating propensity scores with missing covariate data using general location mixture models
In many observational studies, researchers estimate causal effects using propensity scores, e.g., by matching or sub-classifying on the scores. Estimation of propensity scores is complicated when some values of the covariates aremissing.
Reiter, Jerome P. +3 more
core +2 more sources
Bioactive ingredients are compounds, typically derived from natural sources, that provide specific health benefits or perform certain beneficial functions. Although they can play a role in maintaining good health, their effects can vary widely based on a person’s specific genotype and phenotype, leading to situations where certain ingredients induce ...
Mio Ogawa +5 more
openaire +1 more source
Biologically derived and hybrid nonviral nanovectors are examined as distinct but convergent design approaches. Integrating synthetic components with biologically functionalized membranes allows efficient interactions with complex cellular environments.
Clara Baldari +10 more
wiley +1 more source
Schematic illustration of the proposed mechanism: PEG/RGD‐PSLs mimic apoptotic cells to engage PS receptors (notably CD300a), transducing an inhibitory signal that suppresses the MyD88/NF‐κB pathway, leading to global anti‐inflammatory and pro‐reparative effects.
Lele Wu +10 more
wiley +1 more source
Investigation of Therapeutic Potential of Nine Medicinal Plants Against Human Estrogen Receptor Alpha Enzymes: In Silico Study [PDF]
Objective: Breast cancer remains the second leading cause of cancer-related deaths among women despite substantial research efforts and advancements in drug development, this study seeks to identify potent therapeutic compounds derived from nine ...
Riswat Musbau, Taiwo Olaide
doaj +1 more source
This work presents the results of a study of the global and local chemical reactivity of the antineoplastic Elisidepsin and Plitidepsin marine drugs based on the calculation of descriptors coming from Conceptual DFT for their consideration as a tool to explain the molecular interactions, and as a useful complement to those approximations based on ...
openaire +1 more source

