tranSMART Foundation Datathon 1.0: The cross neurodegenerative diseases challenge

Lessons learned from an enterprise-wide clinical datathon

In 2020, Baylor College of Medicine held a datathon to inform potential users of a new data warehouse, allow users to address clinical questions, identify warehouse capabilities and limitations, foster collaborations, and engage trainees. Senior faculty selected proposals based on feasibility and impact. Selectees worked with Information Technology for 2 months and presented findings. A survey of participants showed diverse levels of experience, high perceived value of the datathon, high rates of collaboration, and significant increases in knowledge. A datathon can promote familiarity with a new data warehouse, guide data warehouse improvement, and promote collaboration.

An investigation of the features facilitating effective collaboration between public health experts and data scientists at a hackathon

OBJECTIVES

The objective of this study is to explore facilitating factors for collaboration at hackathons, intensive events bringing together data scientists ('hackers') with experts in particular subject areas.

STUDY DESIGN

This is a qualitative study.

METHODS

Semistructured interviews were conducted with organisers before and after the event. The initial exploratory interviews influenced the content of questionnaires which were distributed to all participants asking about their motivations and experiences. Thematic analysis was used to explore key features of collaboration.

RESULTS

Facilitating factors were clustered under the themes of preparation (the right amount of pre-event information, methods to maximise attendance and identification of suitable challenges), participants (enough people to progress and a mixture of skills and experience), working together (mutual understanding of the aim, getting the best out of each other, overcoming challenges together, effective facilitation and an enjoyable and valuable experience) and follow-up (recognised process for feedback and support for the development of prototypes).

CONCLUSIONS

The findings of the study provide insight into fostering collaboration in this context and provide evidence that may be used to tailor future events for the effective delivery of technological and marketing-based solutions to public health challenges. Hackathons provide a methodological advance with potential for broad public health application.

The Use of Translational Research Platforms in Clinical and Biomedical Data Exploration

The rise of precision medicine combined with the variety of biomedical data sources and their heterogeneous nature make the integration and exploration of information that they retain more complicated. In light of these issues, translational research platforms were developed as a promising solution. Research centers have used translational tools for the study of integrated data for hypothesis development and validation, cohort discovery and data-exploration. For this article, we reviewed the literature in order to determine the use of translational research platforms in precision medicine. These tools are used to support scientists in various domains regarding precision medicine research. We identified eight platforms: BRISK, iCOD, iDASH, tranSMART, the recently developed OncDRS, as well as caTRIP, cBio Cancer Portal and G-DOC. The last four platforms explore multidimensional data specifically for cancer research. We focused on tranSMART, for it is the most broadly used platform, since its development in 2012.

Precision medicine in cancer: challenges and recommendations from an EU-funded cervical cancer biobanking study

Background:

Cervical cancer (CC) remains a leading cause of gynaecological cancer-related mortality worldwide. CC pathogenesis is triggered when human papillomavirus (HPV) inserts into the genome, resulting in tumour suppressor gene inactivation and oncogene activation. Collecting tumour and blood samples is critical for identifying these genetic alterations.

Methods:

BIO-RAIDs is the first prospective molecular profiling clinical study to include a substantial biobanking effort that used uniform high-quality standards and control of samples. In this European Union (EU)-funded study, we identified the challenges that were impeding the effective implementation of such a systematic and comprehensive biobanking effort.

Results:

The challenges included a lack of uniform international legal and ethical standards, complexities in clinical and molecular data management, and difficulties in determining the best technical platforms and data analysis techniques. Some difficulties were encountered by all investigators, while others affected only certain institutions, regions, or countries.

Conclusions:

The results of the BIO-RAIDs programme highlight the need to facilitate and standardise regulatory procedures, and we feel that there is also a need for international working groups that make recommendations to regulatory bodies, governmental funding agencies, and academic institutions to achieve a proficient biobanking programme throughout EU countries. This represents the first step in precision medicine.

Healthcare Hackathons Provide Educational and Innovation Opportunities: A Case Study and Best Practice Recommendations

Physicians and other healthcare professionals are often the end users of medical innovation; however, they are rarely involved in the beginning design stages. This often results in ineffective healthcare solutions with poor adoption rates. At the early design stage, innovation would benefit from input from healthcare professionals. This report describes the first-ever rehabilitation hackathon-an interdisciplinary and competitive team event aimed at accelerating and improving healthcare solutions and providing an educational experience for participants. Hackathons are gaining traction as a way to accelerate innovation by bringing together a diverse group of interdisciplinary professionals from different industries who work collaboratively in teams and learn from each other, focus on a specific problem ("pain point"), develop a solution using design thinking techniques, pitch the solution to participants, gather fast feedback and quickly alter the prototype design ("pivoting"). 102 hackers including 19 (18.6 %) physicians and other professionals participated, and over the course of 2 days worked in teams, pitched ideas and developed design prototypes. Three awards were given for prototypes that may improve function in persons with disabilities. 43 hackers were women (42.2 %) and 59 men (57.8 %); they ranged in age from 16 to 79 years old; and, of the 75 hackers who reported their age, 63 (84 %) were less than 40 years old and 12 (16 %) were 40 years or older. This report contributes to the emerging literature on healthcare hackathons as a means of providing interdisciplinary education and training and supporting innovation.

A "datathon" model to support cross-disciplinary collaboration

In recent years, there has been a growing focus on the unreliability of published biomedical and clinical research. To introduce effective new scientific contributors to the culture of health care, we propose a "datathon" or "hackathon" model in which participants with disparate, but potentially synergistic and complementary, knowledge and skills effectively combine to address questions faced by clinicians. The continuous peer review intrinsically provided by follow-up datathons, which take up prior uncompleted projects, might produce more reliable research, either by providing a different perspective on the study design and methodology or by replication of prior analyses.