MicroRNA Profiling from Tears as a Potential Non-invasive Method for Early Detection of Diabetic Retinopathy

Authors: Wong, Wilson K. M., Polkamp, Mya, Farr, Ryan J., Kunte, Pooja S., Hardikar, Hrishikesh P., Yajnik, Chittaranjan S., Hardikar, Anandwardhan A., Joglekar, Mugdha V.

Source: Methods in molecular biology. 2678:117-134

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN633435400&indx=1&recIds=ETOCRN633435400

Tear-fluid-derived biomarkers of ocular complications in diabetes: a systematic review and meta-analysis.

Authors: Polkamp, Mya, Pham, Nhan H. T., Wong, Wilson K. M., Hardikar, Hrishikesh P., Kunte, Pooja S., Cameron, Morven A., Hardikar, Anandwardhan A., Joglekar, Mugdha V.

Source: BMC Medicine; 2/12/2025, Vol. 23 Issue 1, p1-15, 15p

Subject Terms: TYPE 1 diabetes, DIABETES complications, INSULIN resistance, MEDICAL sciences, DIABETIC retinopathy

259 - AI-driven approaches to identifying baseline characteristics of weight loss in a multidisciplinary metabolic weight management program for people with Class 3 obesity

Authors: Wong, Wilson KM, Chimoriya, Ritesh, Acosta, Pamela, Kunte, Pooja S, Hardikar, Hrishikesh P, Kormas, Nick, Joglekar, Mugdha V, Piya, Milan, Hardikar, Anandwardhan

Source: In Obesity Research & Clinical Practice September-October 2024 18(5) Supplement 1:58-58