Results 81 to 90 of about 1,302,906 (282)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yes, 2020
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 reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data

open access: yesJournal of Cheminformatics
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

Spatially Controlled Embedded Bioprinting of Prevascularized Spheroids‐Containing Biopatch Enables Functional Skin Regeneration

open access: yesAdvanced Healthcare Materials, EarlyView.
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

open access: yes, 2009
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

A Score-Based Rapid Screening and Network Visualization Method Based on Bioactive Ingredient-Induced Variations in Skin Cell Gene Expression

open access: yesScientia Pharmaceutica
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

From Cell‐Derived Vesicles to Hybrid Nanovectors: Biological Membranes as Functional Blueprints for Gene Delivery

open access: yesAdvanced Healthcare Materials, EarlyView.
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

Targeting CD300a Signaling With a Phosphatidylserine‐Presenting Hydrogel Rescues Macrophage Dysfunction and Accelerates Diabetic Wound Healing

open access: yesAdvanced Healthcare Materials, EarlyView.
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]

open access: yesJournal of Advanced Pharmacy Research
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

An Alternative Approach to Computational Peptidology Based on Conceptual DFT and Empirical Bioactivity Scores

open access: yes, 2019
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

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