Results 221 to 230 of about 1,163,868 (343)

Interprofessional Education: A Systematic Review of Educational Methods in Postgraduate Health Professions Programs. [PDF]

Clin Teach
Alharbi NS, Bukhari L, Albaz NK, Alraddadi AS, Albilehi R, Alkahtani R, Nasser S, Alnahedh T, Aldriwesh MG.   +8 more
europepmc   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

Advanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman, Fares D. E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun   +10 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Health Educators and Academic Leaders: A Developmental, Principles-Focused Program Evaluation Approach for Aspiring Clinician Educators in Graduate Medical Education. [PDF]

J Grad Med Educ
Rohlfsen C, Hall J, Howell MC, Hershberger DM, Ashford AK, Mullane R, Gollehon N, Custer T, Thompson H, Armijo PR.   +9 more
europepmc   +1 more source

A Discipline-Based Teaching and Learning Center [PDF]

, 2015
Laura C. Egan, Gili Marbach-Ad, Katerina V. Thompson   +2 more
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Factors influencing preclinical medical students' satisfaction with hospital teachers' instruction in a blended learning environment integrating the rain classroom platform in China. [PDF]

Front Psychol
Lu D, Xiong Y, Yu L, Bao Y, Teng X, Deng Y, He C, Zhang H.   +7 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Boundary Spanning Behavior of Clinician-Teachers in the Classroom. An Observation Study. [PDF]

Perspect Med Educ
Brouwer HJ, Buurma E, de Groot E, Louws M, Kluijtmans M, Damoiseaux RAMJ, Barry M.   +6 more
europepmc   +1 more source

Advances in Organic In‐Sensor Neuromorphic Computing: from Material Mechanisms to Applications

Advanced Intelligent Discovery, EarlyView.
This review discusses organic in‐sensor neuromorphic computing for wearable and bioelectronic systems, with a focus on memory‐based and OECT‐based synaptic devices. It highlights key design principles, recent advances, and existing challenges. By integrating sensing and processing within organic materials, the approach enables real‐time, low‐power, and
Dong Hyun Lee, Woojo Kim, Eun Kwang Lee, Hocheon Yoo   +3 more
wiley   +1 more source