We are comprised of experts and clinicians engaged in all areas of AI in healthcare, from early-stage development to clinical deployment and devising clinical studies. Our resources accelerate the development and deployment of AI-driven solutions, enhancing efficiency, accuracy, and patient outcomes.

Our experts work closely with clients to identify and prioritize key areas for AI implementation.We design and implement tailored solutions that address specific pain points, improve operational processes, enhance decision-making, and unlock new opportunities for growth and innovation.

AVNEESH KHARE, MBBS,MD,DNB,MNAMS,PDCC,MBA

Dr Avneesh Khare is a Physician turned MedTech (Emerging Tech - AI) Consultant and Educator from India with a decade of past clinical experience in Anaesthesiology, Critical Care and Pain Management. He holds an MBA degree in Hospital and Health Systems Management from BITS Pilani, India and a Certificate in Healthcare Leadership from Duke University, USA. He is certified by the American Board of AI in Medicine (ABAIM) and has also served as a member of the National Academy of Medical Sciences (NAMS), India Taskforce on AI in Healthcare.

CHINTAN DAVE,MD, FRCPC

Dr. Dave is a dual-certified internal medicine and critical care physician with expertise in ultrasound and medical AI development, research, and implementation. He is passionate in creating and studying innovative ways to translate promising medical AI development into real-world impact on patient-important outcomes.

ALOK KOTHARI

Alok Kothari has spent the last 10 years in artificial intelligence (AI), working at research and development organizations across India, Middle East, Europe and US. He helped build the natural language understanding backend which powers Apple’s AI assistant Siri. He co-founded a blockchain company in a Silicon Valley garage whose cryptocurrency is listed on major exchanges like Binance. Alok is now working on his second startup in AI and Healthcare. In his free time, Alok likes to hike and learn new languages.

Tomasz Rogula, MD, PhD, FACS

Tomasz Rogula, MD, PhD, FACS is a professor of surgery at the Jagiellonian University I Department of Surgery, Chief of Minimally Invasive and Robotic Surgery Division, Krakow, Poland and a part-time Clinical Associate Professor of Surgery at the Case Western Reserve University in Cleveland, OH, United States. He is also a professor of surgery at the Jan Kochanowski University in Kielce, Poland. Prof. Rogula is a former Staff Surgeon and an Associate Professor of Surgery at the Cleveland Clinic – Bariatric Metabolic Institute, a former Chief of General Surgery Division and Co-Director of Bariatric and Metabolic Surgery at the University Hospitals Geauga Medical Center in Cleveland-Chardon, OH, USA. He graduated from the Jagiellonian University School of Medicine in Krakow, Poland and was trained in weight loss and general surgery Fellowships in the United States (Mount Sinai School of Medicine – New York, University of Pittsburgh, PA), Italy, France, Germany, Spain, Canada, United Kingdom and Japan. In addition to bariatric surgery, his specialty interests include advanced laparoscopic and robotic surgery, gastrointestinal surgery and hernia repair. He performed the first robotic assisted gastric bypass for obesity and initiated single incision laparoscopic bariatric surgery at the Cleveland Clinic. Dr. Rogula has done pioneering research on novel weight-loss surgery procedures. He published numerous articles and book chapters on topics of bariatric and laparoscopic surgery and is a peer reviewer for many journals. He was an invited speaker for numerous national and international surgical meetings and workshops.

Avirup Guha, MD, MPH, FACC, FICOS

Dr. Guha is an Assistant Professor of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, and a consultant cardiologist in the Harrington Heart and Vascular Institute. He is an expert in cardiovascular epidemiology pertaining to cardio-oncology. Specifically, he is interested in the use of deep learning in reducing the redundancy and error in cardiac care of patients (especially those with cancer). He is an avid coder and has created the Cardioonc bot (https://twitter.com/cardioonc_bot) using Python to spread cardio-oncology knowledge using the Twitter bot platform. Many of Dr. Guha's research projects have used supervised and unsupervised machine learning algorithms along with traditional biostatistical techniques. He firmly believes that, if we are able to repeat scientific studies with higher fidelity and accuracy with machine learning techniques, it is not only good for science but validates the approaches to have greater buy-in from ML - "non-believers".

Additionally, Dr. Guha is also the population science principal investigator of one of the American Heart Association's Strategically Focussed Research Network Grants in Disparities in Cardio-oncology. Additionally, he is a member of the JACC: Cardio-oncology and ICOS SoMe working groups.

RAGHAV AWASTHI, M.S.,Ph.D.

Raghav is currently a postdoc scholar at Case Western Research University,USA. He completed his Ph.D. from IIIT-D working on AI in Healthcare. Prior to joining this institute, he completed Masters in Mathematics from IIT Kanpur where he was the rank opener for the batch.He also outperformed in CSIR-JRF which approved his funding for Ph.D. His Ph.D. thesis is currently focused on Causal Machine Learning and Reinforcement Learning in Healthcare. His focus is to build data-driven decision support that is explainable and effectively deployable.He is highly motivated to explore the applications of Mathematics in Healthcare.

KLAUDIA PRONIEWSKA, Ph.D.

Klaudia Proniewska earned Ph.D. in Biocybernetics and Biomedical Engineering at the AGH University of Science and Technology in Krakow in 2014 with her doctoral dissertation titled “ Identification of human vital functions based on selected cardiac and respiratory signals”. During the doctoral studies, Dr, Proniewska received multiple awards, recognitions, and scholarships including a regional scholarship "Doctus", Mortar scholarship (in the USA) awarded for innovative solutions in the field of patient cardiac monitoring.  As part of internships, she researched at the Thoraxcenter Heart Disease Center, Erasmus MC, Rotterdam, the Netherlands, at the American Cardiovascular Research Foundation in New York, and the Top500 Innovators at the University of Cambridge, the University of Oxford, the United Kingdom in 2013, 2014 and 2015 respectively. During the Top500 Innovators internship, Dr. Proniewska acquired extensive knowledge in the management of scientific projects and their commercialization.

Currently, Dr. Proniewska is a researcher and faculty, at the Bioinformatics and Telemedicine Department of the Jagiellonian University Collegium Medicum (UJCM). Dr. Proniewska's scientific interests include biomedical engineering, in particular biomedical signal processing, coronary and cardiac imaging, and telemedicine solutions aimed at the prevention of chronic diseases. Since 2017, she has been working on the implementation of innovative methods of visualization of medical data utilizing augmented reality and 3D space mapping. Since 2021 Dr. Proniewska is the head of a newly established UJCM Mixed Reality Laboratory. – which was developed in collaboration with Microsoft to advance pre-procedural planning, monitoring as well as advanced medical education utilizing 3D visualization. https://customers.microsoft.com/en-us/story/1360706959301045044-jumc-higher-education-azure-en-poland