Other Videos of Interest

Just-in-Time Adaptive Interventions with Susan Murphy

Statistician Susan Murphy of the University of Michigan explains some of the tools used for creating the interventions used in mobile health (mHealth) in a trio of videos released by the Methodology Center of Pennsylvania State University.

Many mHealth applications use interventions that are delivered by a smartphone or other mobile device. In the first video, Murphy explains just-in-time adaptive interventions (JITAI), which are delivered as needed via a mobile device. The second video explains the microrandomized trial, which is a trial design used for building JITAIs, and in the third video, Murphy talks about data analysis used in the development of a JITAI. 

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Replay available of Dr. Ida Sim's Grand Rounds talk at NIH Collaboratory

A recording of Dr. Ida Sim's Grand Rounds presentation at the NIH Health Care Systems Research Collaboratory is now available

Dr. Sim is a Professor of Medicine and Co-Director of Biomedical Informatics at the UCSF Clinical Translational Science Institute. She is also co-founder of Open mHealth and an investigator for the NIH-funded Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), where she heads the center's Consortium Core.

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Dr. Kenzie Preston: Substance Abuse Research with Mobile Technology

Presenter: Dr. Kenzie Preston, NIDA

Date: Oct. 12, 2015

About the presentation: Dr. Preston discusses methods of assessing methods of assessing the effect of different mechanisms to combat drug abuse, using geographical momentary assessment to investigate individual and environmental influences on drug craving, intensive ambulatory physiological monitoring, and mobile interventions for addiction. Some of Dr. Preston’s research involved data collected using AutoSense.

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News of Interest

Applications open for 2022 mHealth Training Institute (mHTI) at UCLA

Applications are now being accepted for the 2022 NIH mHealth Training Institute (mHTI) to be held at the University of California, Los Angeles from July 26-29, 2022. Designed to develop the next generation of transdisciplinary mHealth researchers, the hybrid mHTI will blend online webinars with an immersive in-person learning experience.

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Innovative Joint Program in Computational Precision Health at UC Berkeley and UCSF Aims to Improve Quality and Equity of Health Care

The University of California, Berkeley and the UC San Francisco on Oct. 20 jointly launched a new, one-of-a-kind program in computational precision health, a significant step toward advancing this new field and, ultimately, improving the quality and equity of health care.

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NIH NOSI: Validation of Digital Health and Artificial Intelligence Tools for Improved Assessment in Epidemiological, Clinical, and Intervention Research

NIH Notice of Special Interest (NOSI) is to encourage grant applications to support the evaluation of the utility and validity of digital health and artificial intelligence (AI) tools and technologies in epidemiological, clinical, and intervention research

The intent is to support the addition of new measurement modalities to evaluate existing and recently developed but not yet validated digital health and AI tools such as sensor technologies, smartphone applications, software as a medical device (SaMD), and AI algorithms.

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Job Opportunities

Postdoctoral Researcher in Digital Health Interventions at HSG School of Medicine

The ongoing digitisation of our everyday life offers unique opportunities for innovation in healthcare. The Chair of Digital Health Interventions is an integral part of the Centre for Digital Health Interventions, a joint initiative of the Institute for Implementation Science in Health Care at the Faculty of MedicineUniversity of Zurich (UZH), both the School of Medicine and the Institute of Technology Management at the University of St.Gallen (HSG), and the Department of Management, Technology, and Economics at ETH Zurich (ETH). 

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Assistant/Associate/Full Professors - Computational Precision Health - UC Berkeley Division of Computing, Data Science, and Society; UCSF Bakar Computational Health Sciences Institute

The University of California, Berkeley and the UC San Francisco on Oct. 20 jointly launched a new, one-of-a-kind program in computational precision health, a significant step toward advancing this new field and, ultimately, improving the quality and equity of health care.

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Research Associate in Data Science – Yale School of Medicine

A Research Associate position is available at the Yale University School of Medicine within Frederick
Altice’s group, starting in Fall/Winter 2021. We are primarily interested in developing and applying
machine learning, statistical approaches, and wearables to understand outcomes associated with
substance use.

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More than 300 mHealth researchers, technologists, and federal program officers participated in a mHealth Technology Showcase held June 4 on the NIH campus. The event, co-sponsored by MD2K and NIH, gave participants an opportunity to experience the progress that has been made in mHealth technology available for research since the first NIH grants were awarded in 2007 as part of its Genes, Environment, and Health Initiative (GEI) that funded sensor development. The day featured panel discussions, speakers and 16 technology demonstrations and 50 posters that were chosen by an NIH selection committee from nearly 200 applicants. Click below for links to video, speaker slides and descriptions of the technology that was demonstrated.

Event brings together technology developers, health researchers

We created the mHealthHUB to give members of the mHealth community a place to share ideas and information.

To that end, we want to hear from you! Please let us know about upcoming events, your research or technology that is of interest to the mHealth community, job, funding and educational opportunities, or any other mHealth news.

We are especially interested in hearing from mHealth students and professionals interested in contributing content to mHealthHUB.

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mHealth Summer Training Institutes

The week-long program at UCLA seeks to bridge the gap between technology development and health research can be reduced by conducting cross-training between early investigators in these fields. Bringing these groups together allows for unprecedented collaboration and cross-fertilization.

AAAS Technology, Engineering and Computer Science News

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