Pistoia Alliance conference April 2016: Mobile and Wearables: Imperial College / Richard Kwasnicki

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Richard Kwasnicki is a medical doctor and research associate at Imperial College London who works on translating wearable technologies into healthcare. He discusses the development pathway for new sensors and technologies, including identifying a clinical problem, developing a theoretical model, conducting lab testing, clinical trials, and integrating into clinical practice. However, he notes there are barriers in this process including ethics reviews, time, funding, patient recruitment, management approval, and regulatory hurdles.

Science

R I C H A R D M K WA S N I C K I P H D M B B S
TRANSLATION OF WEARABLES
INTO HEALTHCARE

RICHARD M KWASNICKI
Imperial College London
• BSc Surgery and Anaesthesia
• PhD Surgical Technology (Body Sensor Networks)
• MBBS
• Medical doctor (Academic Surgical Trainee)
• Research Associate (Technology in Healthcare)

DEVELOPMENT PATHWAY
Sensor
Clinical
problem
Both? Theory Lab
testing
Clinical
trial
Clinical
practice

BARRIERS
• Ethics
• Time
• Funding
• Patients
• Management
• MRHA
• Trial registration
• NIHR portfolio

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This document summarizes an introduction for a panel discussion on big biomedical data. It notes that high-throughput technologies have moved biology from the lab to the computer, generating vast amounts of genomic, proteomic, and other data. The challenges of big data, including volume, velocity, variety, and veracity, were discussed. Additional challenges in the biomedical domain include data privacy, governance, and legislation. The panel sought to discuss how the life sciences industry can uncover value from these large and growing datasets. The panelists represented 23andMe, MedImmune, and Osthus and would discuss issues like data sharing across borders and changes as genomics moves to clinical use.

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University of Maribor

Immersive Learning That Works: Research Grounding and Paths Forward

Leonel Morgado

We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.

Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...

AbdullaAlAsif1

The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.

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