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Open health data will help fix India's healthcare
Open Data 2022
Drawbacks aside, India will benefit from the vast potential of its medical data. The data of the country home to one-sixth of humanity form a force that must be harnessed for the betterment of its healthcare, urges Dr Rohitashva Agrawal in his contribution to The Yuan’s Open Data 2022 series that commemorates the 110th anniversary of Alan Turing’s birth.
Rohitashva Agrawal  |  Jul 06 , 2022
Open medical data is no-brainer
Open Data 2022
Medical AI is revolutionizing global healthcare, even reengineering human genes, but it cannot do so without data. This generation’s data may be the last to record ‘pure’ medical data, which will be tainted by humans with altered genes in future, so today's will be priceless for posterity, says Satyen K. Bordoloi as he marks the 110th anniversary of Alan Turing’s birth to push for open access.
Satyen K. Bordoloi  |  Jul 05 , 2022
Open access: independent testing, incentives are needed for high-quality data
Open Data 2022
Open access to data must focus on their quality, not just quantity. Opening data will not ensure quality, buy may even have the opposite effect, argues Prof Jeffery Lee Funk as part of The Yuan’s Open Data 2022 series.
Jeffrey Lee Funk  |  Jul 04 , 2022
In-silico medicine: a new paradigm in modern healthcare emerges in Greece
People
The Yuan recently spoke with Dr Georgios S. Stamatakos, father of in-silico medicine, research professor at the National Technical University of Athens, and director of the In-Silico Oncology and In-Silico Medicine Group of ICCS-SECE-NTUA, to find out about this fascinating scientific field.
Eleni Natsi  |  Jul 02 , 2022
Open medical data to make Africa ‘new breeding ground for digital health’
Open Data 2022
This is The Yuan’s first global debate to mark the 110th birthday of Alan Turing, the pioneering father of AI. In light of Africa’s health tech expansion, biochemist Oladimeji Ewumi shares his insights and expertise on the benefits and drawbacks of open medical datasets in Africa’s digital health terrain.
Oladimeji Ewumi  |  Jul 01 , 2022
Opening Africa’s medical data presents both pros and cons
Open Data 2022
Open data hold both advantages and disadvantages but will encourage dialogs and partnerships, asserts machine learning engineer Gift Kenneth as her contribution to The Yuan’s open medical data series. Africa’s data are underrepresented, hard to access or unavailable, problems open access would mark a major step toward solving.
Gift Kenneth  |  Jun 30 , 2022
Education is key to opening Africa’s medical data
Open Data 2022
Successfully integrating open data sharing in Africa will require that its people learn the benefits of such practices from the economic, medical, and social standpoints. Setting up the right ecosystem to allow data sharing to thrive is crucial to its sustainability in the second-largest, second most-populous continent.
Janet Sawari  |  Jun 29 , 2022
Rocky road besets Europe’s bid to open medical data
Open Data 2022
AI has started to disrupt healthcare by providing better patient care while also cutting waiting times and costs. Prof Patrick Glauner expounds on the importance of open medical data in modern AI-based healthcare, the European Health Data Space and the Data Act, as well as various regulatory challenges as he wades into the fray in the debate in The Yuan’s Open Medical Data series.
Patrick Glauner  |  Jun 28 , 2022
US must pave way for open medical data
Open Data 2022
AI commentator Gil Press has a modest proposal for the US to emulate the internet and create healthcare open data infrastructure and set standards for its machine readability, as part of The Yuan’s ongoing Open Medical Data series.
Gil Press  |  Jun 27 , 2022
Universal open medical data necessary for global health equity
Open Data 2022
Fulfilment of Alan Turing’s vision of “a machine that can learn from experience” is still far off. Whether global health disparities improve or worsen in future will largely depend on whether researchers in both LMICs and HICs can access worldwide open medical data, argues Corvus Health founder and Chief Executive Kate Tulenko in her contribution to The Yuan's series on Open Medical Data.
Kate Tulenko  |  Jun 24 , 2022
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Kirk Borne
Kirk Borne
Kirk Borne is chief science officer at AI startup DataPrime and founder of Data Leadership Group. He provides thought leadership, global speaking, content creation, mentoring, training, and strategy consulting in data science, machine learning, and AI across multiple disciplines.
Rutwik Shah
Rutwik Shah
Rutwik Shah is a physician scientist turned product leader. He builds clinical AI applications that aid physicians and improve patient outcomes at the Center for Clinical Data Science, Mass General and Brigham hospital. Rutwik is also active in the health-tech startup ecosystem, primarily through his advisory role at Berkeley Skydeck.
Richard Dasselaar
Richard Dasselaar
Richard Dasselaar is an expert in digital health strategy and his focus is on the integration of medical AI into our global and regional health technology ecosystems for the timely identification of disease and to bring superior care to those who need it.
Sonish Sivarajkuma
Sonish Sivarajkuma
Sonish Sivarajkuma is a PhD Candidate at the School of Computing and Information, University of Pittsburgh. His research focuses on natural language processing as well as machine learning applications in healthcare. He was previously a senior data scientist at the IQVIA AI Centre of Excellence.
Semih Kumluk
Semih Kumluk
Semih Kumluk counsels Middle Eastern leaders and executives on digital transformation. He launched the first AI certification program in the Middle East. He has led Unilever innovation project teams and built a number of Data Science and AI communities.
Sundar Pichai
Sundar Pichai
Sundar Pichai is CEO of Google and Alphabet.
Emmanuel R. Goffi
Emmanuel R. Goffi
Emmanuel R. Goffi is the co-founder and co-director of the Global AI Ethics Institute in Paris. He is a philosopher of technology focusing on ethics applied to AI as addressed through cultural perspectives.
Gary Marcus
Gary Marcus
Gary Marcus is a scientist, best-selling author, and serial entrepreneur. He is the founder of Robust.AI and Geometric.AI, acquired by Uber. He is well-known for his challenges to contemporary AI, anticipating many of the current problems decades in advance, and for his research in human language development.An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of five books, Rebooting AI (with Ernest Davis), The Algebraic Mind, Kluge, The Birth of the Mind, and Guitar Zero, and has often contributed to The New Yorker, Wired, and The New York Times.His most recent book, co-authored with Ernest Davis, Rebooting AI, is one of Forbes’s 7 Must Read Books in AI.
Eduard Musinschi
Eduard Musinschi
Eduard Musinschi is a specialist in digital health and founder of longevity organizations www.lifetimeaward.org and Telewellness UK. He is one of the initiators of the American Association of Precision Medicine’s Coronavirus Task Force.
David Wood
David Wood
David W. Wood was one of the pioneers of the smartphone industry, co-founding Symbian in 1998. Software written by his teams has been included on half a billion smartphones. He has chaired London Futurists since 2008 and is the author or lead editor of 11 books on futurist and technoprogressive topics.