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Professor Sanjay Kinra

Professor in Clinical Epidemiology

United Kingdom

I am a Clinical Epidemiologist. My primary research interest is in Applied Artifiical Intelligence in Global Health. I am passionate about developing low-cost solutions to improve healthcare (mainly primary healthcare and care of non-communicable diseases, such as obesity, diabetes, heart disease) in low-resource settings. I try to do this by using digital technologies and AI to empower primary healthcare providers (doctors, nurses, community workers, even lay people) with decision support tools and diagnostics so they can deliver more advanced/specialist care at lower cost. I am also very interested in behaviour science and traditional therapies (such as yoga and Ayurveda), so I often integrate in my solutions. I conduct my research mainly in India and South/SouthEast Asia region.  I teach and supervise PhD students in the same areas. 

Affiliations

Department of Non-communicable Disease Epidemiology
Faculty of Epidemiology and Population Health

Teaching

I teach and supervise PhD students interested in my areas of research interest, which are Applied Artificial Intelligence in Global Health, Behaviour Science, Primary healthcare and Non-Communicable diseases.   

Research

My primary research interest is in Applied Artifiical Intelligence in Global Health. I am passionate about developing low-cost solutions to improve healthcare (mainly primary healthcare and care of non-communicable diseases, such as obesity, diabetes, heart disease) in low-resource settings. I try to do this by using digital technologies and AI to empower primary healthcare providers (doctors, nurses, community workers, even lay people) with decision support tools and diagnostics so they can deliver more advanced/specialist care at lower cost. I am also very interested in behaviour science and traditional therapies (such as yoga and Ayurveda), so I often integrate in my solutions. I conduct my research mainly in India and South/SouthEast Asia region. 

Research Area
Data science
Complex interventions
Disease and Health Conditions
Obesity
Diabetes
Cardiovascular diseases
Country
India
Thailand
Indonesia
Malaysia
United Kingdom
Region
South Asia

Selected Publications

Effect of supplemental nutrition in pregnancy on offspring's risk of cardiovascular disease in young adulthood: Long-term follow-up of a cluster trial from India.
KINRA, S; GREGSON, J; Prabhakaran, P; Gupta, V; Walia, GK; Bhogadi, S; Gupta, R; Aggarwal, A; MALLINSON, PA C; Kulkarni, B; PRABHAKARAN, D; Davey Smith, G; Radha Krishna, KV; Ebrahim, S; KUPER, H; Ben-Shlomo, Y;
2020
PLOS MEDICINE
Improving the assessment and management of obesity in UK children and adolescents: the PROMISE research programme including a RCT
Viner, RM; KINRA, S; Christie, D; Cole, TJ; Costa, S; Croker, H; Fry, T; Hsia, Y; Hudson, L; Kessel, AS; Morris, S; Nazareth, I; Nicholls, D; PARK, MH; Saxena, S; Taylor, B; White, B; Wong, IC;
2020
Programme Grants for Applied Research
Yoga-Based Cardiac Rehabilitation After Acute Myocardial Infarction: A Randomized Trial.
PRABHAKARAN, D; Chandrasekaran, AM; Singh, K; Mohan, B; Chattopadhyay, K; Chadha, DS; Negi, PC; Bhat, P; Sadananda, KS; Ajay, VS; Singh, K; Praveen, PA; Devarajan, R; Kondal, D; Soni, D; MALLINSON, P; Manchanda, SC; Madan, K; Hughes, AD; Chathurvedi, N; Roberts, I; Ebrahim, S; Reddy, KS; Tandon, N; POCOCK, S; ... Yoga-CaRe Trial Investigators,
2020
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Infections and cognitive function, depression, and frailty: a cross-sectional study in the longitudinal aging study in India (LASI)
Gore-Langton, GR; Mansfield, KE; Ravi, P; Doubatty, A; Alladi, S; Kinra, S; Warren-Gash, C;
2025
BMC Public Health
Machine learning-based equations for improved body composition estimation in Indian adults
Birk, N; Kulkarni, B; Bhogadi, S; Aggarwal, A; Walia, GK; Gupta, V; Rani, U; Mahajan, H; KINRA, S; MALLINSON, PA C;
2025
PLOS Digital Health
Machine learning-based equations for improved body composition estimation in Indian adults
Birk, N; Kulkarni, B; Bhogadi, S; Aggarwal, A; Walia, GK; Gupta, V; Rani, U; Mahajan, H; KINRA, S; MALLINSON, PA C;
2025
PLOS Digital Health
Unintended consequences of a financial incentive scheme for fruit and vegetable purchasing in an unorganised retail setting in rural India
LIEBER, J; KINRA, S; Addanki, S; Prabhakar, S; Bhogadi, S; Mallinson, PA C; Kurpad, AV; WALLS, HL; Kulkarni, B; Aggarwal, S; Pande, R; Selvaraj, K; Debbarma, A; Deo, S; Kannuri, NK;
2025
Global Food Security
Ashwagandha (Withania somnifera (L.) Dunal) for promoting recovery in long covid: protocol for a randomised placebo-controlled clinical trial (APRIL Trial)
MALLINSON, PA C; Joshi, M; Mathpathi, M; PERKINS, A; CLAYTON, T; SHAH, AS V; Mathur, R; Birk, N; Dhillon, A; LIEBER, J; Beg, SS; Hopkins, L; Khan, A; Allaham, S; Kam, VT W; SUTARIA, S; R, G; Rajagopala, S; Bhamra, A; Pillai, GK G; Khunti, K; Nesari, T; KINRA, S;
2025
BMJ open
Analytical approaches to evaluate risk factors of multimorbidity: a systematic scoping review protocol.
SONG, W; Birk, N; Matsuzaki, M; LIEBER, J; Yamanashi, H; Rogers, E; Aramrat, C; Wiwatkunupakarn, N; Angkurawaranon, C; LEWIN, A; KINRA, S; MALLINSON, PA C;
2025
BMJ open
Primary Care-Based Digital Health-Enabled Stroke Management Intervention: Long-Term Follow-Up of a Cluster Randomized Clinical Trial.
Tan, J; Gong, E; Gallis, JA; Sun, S; Chen, X; Turner, EL; Luo, S; Duan, J; Li, Z; Wang, Y; Yang, B; Lu, S; Tang, S; Bettger, JP; Oldenburg, B; Miranda, JJ; Karmacharya, B; KINRA, S; Shao, R; Ebrahim, S; Yan, LL;
2024
JAMA network open
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