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The COVID-19 pandemic began as a health crisis and quickly turned into an economic, social, and political crisis. It revealed the vulnerability of education systems to external changes and risks and challenged institutions and educators to transform and adapt at short notice. Following the COVID-19 outbreak, one of the natural consequences was the unprecedented rise in online education. The transition from the in-person teaching format to e-learning exposed teachers and students to significant challenges. In the biomedical field, e-learning forced teachers to rethink hands-on wet lab teaching into a hands-off virtual one; this digital transformation has continued in the post-pandemic period and has resulted in the emergence of hybrid models trying to harmonize the benefits of e-learning with those of in-person teaching. In this narrative review, we analyzed articles published between 2020 and 2024 focusing on the teaching of molecular and cellular biology laboratory through online or blended learning formats. We focused on the impact that pedagogical innovation in laboratory e-learning has had on student perceptions, experience, and outcomes. We have extracted five major themes that should be considered by educators involved in course design to enhance the benefits of exposing students to learning in a virtual lab: (1) the varying effectiveness of laboratory e-learning, (2) the potential for online labs to foster self-efficacy and confidence, (3) the reduced opportunities for social interaction in virtual settings, (4) students' perspectives on virtual, blended, and in-person lab work, and (5) the importance of addressing student inequities in digital access.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12290244 | PMC |
http://dx.doi.org/10.1002/bmb.21897 | DOI Listing |
Immunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.
J Safety Res
September 2025
Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address:
Introduction: Researchers, whether working in wet-labs, dry-labs, clinical settings, or field environments, encounter various hazards. However, there has been limited study on the health and safety of academic researchers. This study aimed to investigate hazardous occupational exposures and safety among researchers in academic settings at a large U.
View Article and Find Full Text PDFInt J Antimicrob Agents
September 2025
Dalle Molle Institute for Artificial Intelligence IDSIA. USI/SUPSI, Via la Santa 1, CH-6962 Lugano-Viganello, Switzerland. Electronic address:
Cell-penetrating peptides (CPPs) are powerful vectors for the intracellular delivery of a diverse array of therapeutic molecules. Despite their potential, the rational design of CPPs remains a challenging task that often requires extensive experimental efforts and iterations. In this study, we introduce an innovative approach for the de novo design of CPPs, leveraging the strengths of machine learning (ML) and optimization algorithms.
View Article and Find Full Text PDFJ Cataract Refract Surg
September 2025
Ophthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Purpose: To compare the usability and training effectiveness of a 3D-printed coaxial illumination system mounted on an off-the-shelf stereo-microscope to a professional ophthalmic surgical microscope, in cataract surgery simulation.
Setting: Ophthalmology Lab, Ophthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Design: Prospective randomized crossover study.
Appl Biochem Biotechnol
September 2025
School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers.
View Article and Find Full Text PDF