Luca Giancardo, PhD and the neuroQWERTY team were awarded $100,000 for the best proposal to help elderly to “Age in Place” with their technology
- neuroQWERTY algorithm detects motor impairment through day-to-day finger interaction with digital devices
- Giancardo is a Fellow in Madrid–MIT program to develop innovation leaders and new technologies for healthcare
- The neuroQWERTY team is a multidisciplinary international team with expertise in computer science and neurology
- The software aims at bridging 10 year gap between the actual onset of Parkinson’s disease and the current clinical diagnosis
SINGAPORE— M+Visión Fellow Luca Giancardo won the $100,000 top prize and a gold medallion in the 2015 Singapore Challenge, a component of the Global
Young Scientist Summit (GYSS@one-north) in Singapore, on January 23, 2015. 12 Nobel Laureates, 4 Turing Awardees, 2 Fields Medalists, 2 Millennium Technology Prize Winners and nearly 300 young scientists participated in the five-day event. As a participant in GYSS@one-north, Giancardo, a postdoctoral associate in MIT's Research Laboratory of Electronics (RLE), was invited to submit a whitepaper addressing the topic of “Ageing-in-place.” He proposed on behalf of an M+Visión project team, neuroQWERTY, and their whitepaper was one of 10 selected from 55 submissions to advance to the finals. Tony Tan Keng Yam, The President of the Republic of Singapore presented Luca with the first place medal.
“Singapore … sees itself playing a role in the scientific search for solutions to problems affecting us on a global scale. The Singapore Challenge, an integral part of the GYSS program, is part of our efforts to nurture future science and technology leaders, and promote science and technology development for the betterment of society,” said President Tan in the award and closing ceremony. “We have received very exciting submissions to the Singapore Challenge and I congratulate Dr Luca Giancardo for winning the award this year.”
Parkinson’s disease (PD), the second most frequent neurodegenerative disorder in the world, is clinically diagnosed many years after disease onset, when almost 50 per cent of dopaminergic neurons die. But subtle motor signs of PD, such as tremor and rigidity, are known to happen up to a decade before clinical diagnosis. neuroQWERTY’s algorithm identifies the motor signature of at-risk individuals by studying their finger interactions with laptops, mobile phones and tablets. neuroQWERTY can be used at home, allowing for high compliance and monitoring of longitudinal change.
In pilot studies, neuroQWERTY detected the motor signature of early PD patients by analyzing 15 minutes of non-privacy sensitive typing behavior. They propose to study individuals at high risk of PD to detect subtle motor decline correlated to disease. Eventually, the team hopes to conduct a mass screening of the general population.
An international collaboration for global impact
neuroQWERTY is an ongoing M+Visión Team Project in the Madrid–MIT M+Visión Consortium. The team comprises Senior Fellows Giancardo, Álvaro Sánchez Ferro, Carlos Sánchez Mendoza, and Ian Butterworth. They work closely with clinical collaborators at Hospital 12 de Octubre and Clinico San Carlos in Madrid, Spain, Massachusetts General Hospital in Boston, and Harvard Medical School. The M+Visión Consortium is a partnership of Comunidad de Madrid and MIT, and this project has been financially supported by the Comunidad de Madrid.
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