JMIR Publications

📱 Enhancing mHealth Usability Alyssa Donawa, PhD student at the University of Southern California, discusses her research published in JMIR Formative Research on mobile app usability for cancer patients, including older and rural users. Her work demonstrates that effective design is possible even with limited resources, ensuring accessibility for all users. 🎥 Watch the video: https://lnkd.in/erdTXT44 📄 Read the full article: https://lnkd.in/e-q-c5af #MyJMIRResearch #mHealth #DigitalHealth

We’re proud to highlight the publication of an insightful article in JMIR Publications, co-authored by our esteemed partner and collaborator, Veronique Nabelsi, titled: Enhancing Care Coordination in Oncology and Nononcology Thoracic Surgery Care Pathways Through a Digital Health Solution: Mixed Methods Study. This pilot project, on which Akinox had the privilege to collaborate, demonstrates how combining organizational and technological innovation can deliver tangible outcomes, such as: ✅ Improved care coordination during inter-establishment transitions. ✅ Streamlined service delivery, ensuring smoother and more efficient processes across regions. ✅ Enhanced continuity and quality of care, positively impacting patients. At Akinox Solutions, we believe that by driving innovation and fostering research, we can help create a more connected, patient-centered healthcare system. This study underscores the transformative potential of digital health solutions in achieving these goals. 👉 Dive into the full article here: https://lnkd.in/emR4BGat 👏 Congratulations to Véronique Nabelsi and everyone involved in this important work. Together, we’re shaping the future of healthcare! #digitalhealth #carecoordination #patientengagement #innovation

Another new paper published! ⭐ Machine learning prediction of Vibrio parahaemolyticus ST3 expansion dynamics using eco-evolutionary drivers. 🦠 The 4th and penultimate of my PhD. Here we used genomic data and machine learning, specifically a random forest classifier, to test a range of ecological and evolutionary drivers for their potential in predicting Vibrio parahaemolyticus ST3 expansion dynamics. The highest predictive accuracies (ranging from 0.722 to 0.967) were achieved for models using a combined eco-evolutionary approach, in predicting dynamics such as population structure, delineating introduced vs established isolates, and predicting the success of an introduced isolate in a particular ecological area. Our study gives insights into the eco-evolutionary mechanisms facilitating environmentally-sensitive pathogen emergence and expansion, and showcases the potential of machine learning models using genomic data to contribute to this understanding, and prepare for future pandemic expansions. The paper was published in JMIR Publications Bioinformatics and Biotechnology, as part of a theme issue on "Machine Learning-Based Predictive Models Using Genomic Data". Many thanks to funding from NERC: Natural Environment Research Council, University of Southampton, Cefas and co-authors and supervisors Jaime Martinez-Urtaza (Universitat Autònoma de Barcelona), Ronny van Aerle (Cefas) and Chris Hauton (University of Southampton). https://lnkd.in/eDjQJA7M

Join JMIR Publications + PREreview for a Live Peer Review session on December 12 at 12 pm EST! Collaborate with researchers worldwide to review: ‘Safety and Efficacy of Chimeric Antigen Receptor T-cell Therapy for Recurrent Glioblastoma: An Augmented Meta-analysis of Phase 1 Clinical Trials’ DOI: https://hubs.la/Q02ZPqvf0 📋 Register now: https://hubs.la/Q02ZP8dd0 #PeerReview #Collaboration #CAR_TcellTherapy #MedicalResearch #PREreview #PlanP

Refine Your Machine Learning Research for Publication: This December 4th webinar with Dr. Khaled El Emam equips researchers with best practices for building strong machine learning models in healthcare. Register now for this FREE JMIR AI webinar! Dec 4, 2024, 1 PM ET  Register here: https://lnkd.in/ePdZyR-Z #MachineLearning #HealthData #JMIRAI #ResearchMethods #ScholarlyCommunication

As academics, we love sharing knowledge, often through papers with varying quality of data visualizations. Over the years, I've come to value concise and inspiring visualizations. Revisiting my top-cited paper, "Barriers and Facilitators to the Implementation of eHealth Services: Systematic Literature Analysis" (2019), I can see how my approach to visualizations has evolved.   We, that is the SIG #ConsumerHealthInformatics of Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V., conducted a literature review and visualized the geographical distribution of the reviewed publications as well as the temporal dimension (that is in which year did the authors publish their papers). “We” include Björn Schreiweis and Julian S., Veronika Strotbaum, Martin Wiesner, and Björn Bergh. If you are interested, here’s the link to the full paper: https://lnkd.in/ertYgib2   Initially, I used base #R for bar plots (didn’t know of #ggplot2 back then 🫠 ), which resulted in a graph that, in hindsight, had several issues (see Image 1): Overly complex patterns Non-standard country abbreviations Confusing zero bars Thanks to feedback from JMIR Publications editor, the revised graph improved clarity (Image 2) but still had drawbacks: The placement of the county labels right at the top of the bars also helps as it is no longer necessary to rely on the patterns only.   Drawbacks here: It is difficult to discern the cumulative output for certain years, e.g., 2018 and there is still heavy use of patterns.   How to do it better? Today, I propose a new approach inspired by a Steam-leaf plot, making cumulative output easily detectable (Image 3). By using a monospaced font you can even add more clarity (Image 4).   Key takeaways: Avoid using patterns just to showcase you #R skills 👩💻 Stick to well-known standards (here ISO 3166 country codes) What is your biggest visualization sin? 😰 #Publication #JMIR #DataVisualization #Academia #Visualization #Publishing

Introducing Plan P by JMIR Publications! Are you ready to redefine scholarly publishing and embrace Open Science? Plan P offers a practical path to 100% equitable open access at just $1000 per paper. Key Benefits: ✔️ Faster publication with the Publish, Review, Curate (PRC) model ✔️ Transparent, recognized peer review ✔️ Comprehensive support for universities, researchers & the scientific community 📢 Learn more about PlanP today: https://lnkd.in/erR5xFZ5 📚 Explore their journals: https://lnkd.in/eNRcJUP6 📧 Let's discuss becoming a charter member of Plan P and how it can benefit your institution and researchers: Barbara Valcelli | David Horky | Estelle Saevarsson | Ewa Bartnicka (she, her) | Fanny M. | Rob Turner #OpenScience #PeerReview #OpenAccess #HealthSciece

Curious about the intersection of mental health and technology? Join our FREE Society of Digital Psychiatry Symposium on Dec 11. Explore advances in digital mental health firsthand! 📅 December 11, 2024 — 11 AM - 2 PM ET 🔗 Register today: https://lnkd.in/eVh_zYH8 🎙 Hosted By: John Torous, MD MBI & Shruti Kochhar #TechInMentalHealth #PsychiatrySymposium #MentalHealthCare #DigitalInnovation

Innovating Smoking Cessation with AI Dr. Jonathan Rose, professor of electrical and computer engineering at the University of Toronto, shares his research on using GPT-4 to enhance chatbots for motivational interviewing. This groundbreaking work, published in JMIR Mental Health, highlights how AI can drive innovation in behavioral health interventions. 🎥 Watch the video: https://lnkd.in/eJw-ieHV 📄 Read the full article: https://lnkd.in/eRhX5_Gy #MyJMIRResearch #DigitalHealth #MentalHealth #SmokingCessation #AI

Dr. Dr. Christos D. Argyropoulos, adjunct assistant professor at European University Cyprus, reflects on his rewarding experience as a peer reviewer for the Journal of Medical Internet Research and JMIR Public Health and Surveillance. Peer reviewing sharpens critical thinking, expands professional networks, and contributes to publishing high-quality research. 🎥 Watch his insights: https://lnkd.in/eAjP6rcp #MyJMIRResearch #PeerReview #PublicHealth