Results 221 to 230 of about 3,170,729 (273)

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints. [PDF]

Front Syst Neurosci
Li J, Keselman M, Shlizerman E.
europepmc   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

Breaking the Monologue With Active Learning Using the Think-Pair-Share Strategy: A Cross-Sectional Descriptive Study. [PDF]

Cureus
Chopra D, Lhamo Y, Sidhu JK, Kumar S, Kumar A.   +4 more
europepmc   +1 more source

ALLM-Ab: Active Learning-Driven Antibody Optimization Using Fine-Tuned Protein Language Models. [PDF]

J Chem Inf Model
Furui K, Ohue M.
europepmc   +1 more source

Active learning accelerates electrolyte solvent screening for anode-free lithium metal batteries. [PDF]

Nat Commun
Ma P, Kumar R, Wang KH, Amanchukwu CV.
europepmc   +1 more source

Detection and classification of venous thromboembolism through image test reports analysis using active learning and deep learning. [PDF]

PLoS One
Jeong E, Woo Y, Lee HJ, Kim JY.
europepmc   +1 more source

Active learning meets metadynamics: automated workflow for reactive machine learning interatomic potentials.

Digit Discov
Vitartas V, Zhang H, Juraskova V, Johnston-Wood T, Duarte F.   +4 more
europepmc   +1 more source

From theory to practice: examining the influence of physically active learning on curriculum design and pedagogical planning in initial teacher education. [PDF]

Front Sports Act Living
Lander N, Patterson K, Lai SK, Martin-Alcaide N, Orr J, Weatherell N, Beasy K, Salmon J.   +7 more
europepmc   +1 more source

Moderators' Role in Fostering Health Practitioner Engagement Within an Online Active Learning Program (The Community Fracture Capture Learning Hub): Qualitative Relational Content Thematic Analysis.

J Med Internet Res
Fathalla AM, Chang S, Audehm R, Chiang C, Gorelik A, Yates CJ, Snow S, Barmanray RD, Price S, Collins L, Wark JD.   +10 more
europepmc   +1 more source