Feasibility of implementing a rapid-learning methodology to inform radiotherapy treatments: key professional stakeholders’ views by Corinne Faivre-Finn, Kevin Franks, Fiona McDonald, David P French, Daniel Johnson, Arbaz Kapadi, Gareth Price, Rebecca Holley, Kate Wicks, Kathryn Banfill, Gareth Webster

“…Data were collected between December 2022 and May 2023, and analysed using inductive thematic analysis.Results Four themes were generated: (1) the alignment of rapid-learning methodologies with the reality of practice, (2) concerns related to the variability of RWD, (3) the maturity of data infrastructures and capacity for rapid-learning and (4) further support, education and evidence needed to convince stakeholders to adopt rapid-learning approaches.Conclusion The potential of rapid-learning to help address evidence gaps in radiotherapy development was positively received by different professional stakeholders. …”
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Developing and Testing a Framework for Learning Online Collaborative Creativity in Medical Education: Cross-Sectional Study by Shairah Radzi, Joo Seng Tan, Preman Rajalingam, Jennifer Cleland, Sreenivasulu Reddy Mogali

“…MethodsFLOCC builds on established pedagogical approaches such as design thinking and integrates sociocultural learning methods (team-based learning [TBL] and problem-based learning [PBL]). …”
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Medical education abroad: experience and perceived learning effects of German medical students in an international cardiology elective by Christian Albert, Christian Albert, Katrin Werwick, Marc Gottschalk, Anna Aschoff, Angelo Auricchio, Rüdiger C. Braun-Dullaeus, Philipp Stieger

“…An underlying blueprint with learning objectives was formulated in order to ensure the training outcome. …”
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Charting progress in learning health systems: A systematic review of 5 years of definitions, models, and frameworks by Louise A. Ellis, Georgia Fisher, Maree Saba, Genevieve Dammery, Kate Churruca, Samantha Spanos, Carolynn L. Smith, Bianca Forrester, Yvonne Zurynski, Jeffrey Braithwaite

“…From thematic deductive‐inductive coding of 145 LHS models and frameworks, most identified aspects related to Science and Informatics (83%) and a Continuous Learning Culture (81%), with the most prevalent sub‐domain being Supportive System Competencies (76%). …”
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Beyond the classroom: how parents view motivation as a key to self-directed learning in township schools by Tebogo Siziba, Tebogo Siziba, Bernadette Geduld, Bernadette Geduld, Charlene Du Toit-Brits, Charlene Du Toit-Brits

“…Numerous researchers have emphasized the critical role of self-directed learning (SDL) in education, particularly in township schools, where academic challenges contribute to high failure and dropout rates. …”
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Approaches used to prevent and reduce the use of restrictive practices on adults with learning disabilities: a realist review by Joy Duxbury, Alina Haines-Delmont, John Baker, Peter Baker, Gary Bourlet, Elaine Craig, James Ridley, Rachel Whyte, Beth Morrison, Michaela Thomson, Anthony Tsang, Tella Lantta

“…Background There is some evidence to support approaches to reduce restrictive practices in settings for people with a learning disability who may also have a diagnosis of autism or mental health problems. …”
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Exploring the impact of a brief positive experience on dogs' performance and stress resilience during a learning task. by Julia Miller, Camila Cavalli, Amin Azadian, Alexandra Protopopova

“…Learning and stress resilience can be influenced by recent experiences. …”
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Machine Learning of Serum Cytokine and Chemokine Profiles Can Classify Inflammatory Bowel Disease Beyond Clinical Diagnosis by Jun Miyoshi, Satoshi Tamura, Noriaki Oguri, Daisuke Saito, Yuu Nishinarita, Haruka Wada, Nobuki Nemoto, Minoru Matsuura, Tadakazu Hisamatsu

“…Methods: The study used 20 cytokines and chemokines in serum samples from 69 patients with active UC (n = 51) or CD (n = 18) who were MTD-naïve before starting induction therapy. Multidimensional immune profiles considering the balance of items were used for machine learning to classify samples. …”
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High incidence of glucocorticoid-induced hyperglycaemia in inflammatory bowel disease: metabolic and clinical predictors identified by machine learning by Markus Gwiggner, Louise Downey, Florina Borca, Martin McDonnell, Richard Felwick, Suranga Dharmasiri, Tilly Mills, Trevor R Smith, J R Fraser Cummings, Mayank Patel, Richard J Harris, Benjamin Zare, Matt Stammers, Hang T T Phan

“…Background Glucocorticosteroids (GC) are long-established, widely used agents for induction of remission in inflammatory bowel disease (IBD). …”
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Moving from a registry to a learning health system: A case study of a Dutch prostate cancer registry by Tom Belleman, Jeroen D. H. vanWijngaarden, Malou C. P. Kuppen, Saskia deGroot, Kim J. M. van derVelden, Dianne Bosch, Inge M. vanOort, Carin A. Uyl‐de Groot, Welmoed K. vanDeen

“…These facilitators cover technical, social, and organizational aspects. An inductive phase followed to pinpoint factors for continuous learning and LHSs. …”
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“On Air”: Participation in an Online Radio Show to Foster Speaking Confidence. A Cooperative Learning-Based Strategies Study by Nubia Consuelo Lemos Tello

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Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning by Miki Arai Hojo, Taku Tsuzuki, Yosuke Ozawa, Toshiyuki Araki, Hidetoshi Sakurai

“…By classifying images on each day using extracted features and machine learning, we found that samples with high and low induction efficiency could be predicted at approximately 50 days before the end of induction. …”
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Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry by Tsz Wai Ko, Bowen Deng, Marcel Nassar, Luis Barroso-Luque, Runze Liu, Ji Qi, Atul C. Thakur, Adesh Rohan Mishra, Elliott Liu, Gerbrand Ceder, Santiago Miret, Shyue Ping Ong

“…Abstract Graph deep learning models, which incorporate a natural inductive bias for atomic structures, are of immense interest in materials science and chemistry. …”
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Online Learning Challenges Faced by SSC-Level Learners During the COVID-19 Pandemic: A Case of Pakistan by Shaista Noor and Filzah Md Isa

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Entering a new era: The lived experiences of primary school teachers in the post-modular distance learning delivery by Vicent Mae B. Rivera, Althea Maris P. Tabangan, Patricia Isabelle M. Tayanes, Ric Glenn A. Comidoy

“…The results have implications for the teaching and learning process in the post-Modular Distance Learning delivery.…”
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Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience by Nicholas A. Coles, Bartosz Perz, Maciej Behnke, Johannes C. Eichstaedt, Soo Hyung Kim, Tu N. Vu, Chirag Raman, Julian Tejada, Van-Thong Huynh, Guangyi Zhang, Tanming Cui, Sharanyak Podder, Rushi Chavda, Shubham Pandey, Arpit Upadhyay, Jorge I. Padilla-Buritica, Carlos J. Barrera Causil, Linying Ji, Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu, Monica Perusquia-Hernandez, Hideaki Uchiyama, Xin Wei, Houwei Cao, Ziqing Yang, Alessia Iancarelli, Kieran McVeigh, Yiyu Wang, Isabel M. Berwian, Jamie C. Chiu, Dan-Mircea Mirea, Erik C. Nook, Henna I. Vartiainen, Claire Whiting, Young Won Cho, Sy-Miin Chow, Zachary F. Fisher, Yanling Li, Xiaoyue Xiong, Yuqi Shen, Enzo Tagliazucchi, Leandro A. Bugnon, Raydonal Ospina, Nicolas M. Bruno, Tomas A. D'Amelio, Federico Zamberlan, Luis R. Mercado Diaz, Javier O. Pinzon-Arenas, Hugo F. Posada-Quintero, Maneesh Bilalpur, Saurabh Hinduja, Fernando Marmolejo-Ramos, Shaun Canavan, Liza Jivnani, Stanisław Saganowski

“…Researchers are increasingly using machine learning to study physiological markers of emotion. …”
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The Effect of Philosophy for Children (P4C) Curriculum on Formulating Question Skills of Children with Special Learning Disabilities by Filiz Karadağ

“…Asking questions is one of the oldest learning-teaching tools used in the inquiry process. …”
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Building Responsive Intersectoral Initiatives for Newcomers in Toronto: Learning from Service Providers’ Experiences in the Context of COVID-19 by Carly Jackson, Shinjini Mondal, Erica Di Ruggiero, Lara Gautier

“…The data were analyzed thematically with an inductive approach. Findings: The analysis covers four key themes: (1) vulnerable newcomers’ circumstances regarding accessing the social determinants of health during COVID-19; (2) the process of designing specific interventions to target these populations’ needs and service access challenges in the context of COVID-19; (3) the implementation phase of the initiatives, including any associated challenges and lessons learned; and finally, (4) long-term potential sustainability of the initiatives. …”
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Hospital-based innovation labs to accelerate digital health transformation: lessons learned from twenty types of experts by Eric R. Edelman, Joost G. E. Verbeek, Perry Hunen, Martijn de Groot, Nicole van Eldik, Marieke D. Spreeuwenberg

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Simulation-based learning in postgraduate critical care and anaesthesia nursing: an interview study from postgraduate nurses’ perspectives by Carina Sjöberg, Pether Jildenstål, Mona Ringdal, Torben Nordahl Amorøe, Viktoria Sjöstedt, Carl-Johan Cederwall

“…Method This is a descriptive qualitative interview study with a purposeful sample of postgraduate nurses with experience with simulation-based learning during clinical practice. The data were analysed using inductive and thematic analysis. …”
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