Research

Where Clinical Problems Become Engineered Knowledge

MedhAnkura's research programme bridges clinical observation and IP-protected innovation — publishing findings, building domain-specific research tracks, and collaborating with institutions that share our precision-first ethos.

Publications

Published Research

Peer-reviewed papers, conference proceedings, and technical reports authored or co-authored by MedhAnkura researchers and collaborators.

Healthcare Innovations

Risk-scoring system for predicting mucositis in patients of head and neck cancer receiving concurrent chemoradiotherapy [rssm-hn]

A V S Suresh, P Pratap Varma, Sudha Sinha, Satya Deepika, Raghu Raman, M Srinivasan, T Mandapal, C Obula Reddy, B B Anand · J Cancer Res Ther · 2010; 6(4):448–51

One of the most distressing complications of head and neck cancer patients receiving chemoradiotherapy is mucositis. This study developed a risk-scoring system (rssm-hn) by analysing 218 patients receiving concurrent chemoradiotherapy for head and neck cancer. Independent risk factors identified by receiver operating characteristic analysis included age over 40, elevated performance status, low white blood cell counts, elevated inflammatory markers, low albumin, and advanced disease stage. Patients with a score of 6 or more had a 76% probability of developing severe mucositis; those scoring 3 or lower had only a 17% probability.

Healthcare Innovations

Evaluation of the status of tuberculosis as part of the clinical case definition of AIDS in India

AVS Suresh, V Singh, M Rai, D Varma, S Sundar

Aim: To assess HIV associated tuberculosis in a high tuberculosis prevalence setting and its status in the clinical case definition of AIDS. Methods: All HIV patients attending the infectious disease clinic, Varanasi, India between January 2001 and December 2003 were included in the study. Results: Tuberculosis was the commonest opportunistic disease, seen in 163 patients. Of these, 68 had exclusively pulmonary tuberculosis, 55 extrapulmonary disease, and 40 the disseminated form. Disseminated tuberculosis showed higher specificity (87%) and positive predictive value (75%) for CD4 levels below 200 compared to pulmonary (51%) and extrapulmonary (42%) forms. Conclusion: The inclusion of pulmonary and extrapulmonary tuberculosis in AIDS-defining illness should be reconsidered, particularly in tuberculosis-endemic settings.

Healthcare Technology

Agent Based Diagnostic Model for Cancer in Selected Organs Using JADE

K. Lavanya, M.A. Saleem Durai, AVS. Suresh, N.Ch.S.N. Iyengar · Procedia Technology · 2012; 4:303–310

A prototype multi-agent system for cancer diagnosis in selected organs — lung, kidney, and liver — that determines illness likelihood, severity, and potential complications using statistical belief based on patient symptoms and laboratory findings. The system provides treatment prescriptions, recommendations, and indications, with final diagnosis based on collaborative decisions across JADE agents. Fuzzy modelling is applied to classify cancer stages and compute patient survival rates.

Healthcare Innovations

Probability Predicting Tool for Identifying Incidence and Severity of Pancytopenia as a Result of Megaloblastic Anemia

Anuradha Vutukuru, Attili VS Suresh · Global Journal of Hematology and Blood Transfusion · 2016; 3(1):6–9

Developed a probability predicting system for the incidence and severity of pancytopenia as a result of megaloblastic anemia. A retrospective analysis of approximately 2,000 new cases identified age, folate levels, B12 values, Mean Corpuscular Volume, duration of symptoms, and serum albumin as risk factors via ROC analysis. Patients scoring 2 or below had a 22% probability of pancytopenia; those scoring 6 or more had an 89% probability. MCV recovery of 8 fl by week 3 was identified as a positive predictable recovery marker, providing clinicians a tool to identify alternative aetiologies in resource-constrained settings.

Healthcare Technology

Attitudes Toward Artificial Intelligence Among Technical and Non-Technical Employees: A GAAIS-Based Comparative Study

Varma PSK, Anshu Pinnama Raju, Ashwin Kandula, Partha Bhattacharya, Maha Lakshmi Keerthana Kalidindi, Attili Venkata Satya Suresh, Natukula Kirmani · Annals of Medicine and Medical Sciences · 2026; 5(1):10–16

A cross-sectional study of 85 employees examining how technical versus non-technical workers perceive artificial intelligence, using the General Attitudes Toward Artificial Intelligence Scale (GAAIS). Technical employees demonstrated moderate positive scores (3.65 ± 0.26) and lower negative scores (2.99 ± 0.39), while non-technical workers showed greater polarisation. Technology-focused personnel show more balanced, evidence-grounded perspectives and may serve as important stakeholders in organisational AI adoption.

Institutional Collaborations

Research Partners and Institutions

MedhAnkura's research is strengthened by collaborations with teaching hospitals, research institutes, and technology partners who share our commitment to evidence-driven healthcare engineering.

Clinical Research Partner

KIMS — Konaseema Institute of Medical Sciences

Andhra Pradesh, India

KIMS is a large multi-speciality hospital and medical college in Andhra Pradesh, providing MedhAnkura with a strong clinical research foundation. The partnership enables access to diverse patient cohorts, clinical validation environments, and academic medical expertise — supporting evidence-based development and real-world testing of MedhAnkura's healthcare innovations.

Academic Research Partner

Institutional Partner Placeholder

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Technology Research Partner

Techsophy

Hyderabad, India

Techsophy brings deep expertise in AI/ML engineering, digital innovation, and process innovation to MedhAnkura's technology research. The collaboration supports development of intelligent data pipelines, algorithmic decision-support systems, and digitally transformed care workflows that form the backbone of MedhAnkura's healthcare technology platform.

Collaborate on Research

Research Collaboration

Propose a Joint Research Programme

MedhAnkura actively seeks research institutions, clinical partners, and domain experts to co-develop, co-author, and validate research across our four healthcare domains. Bring your clinical problem — we bring the engineering.

Propose Collaboration

Open to all four domain areas
Co-authorship and IP sharing available
Response within 48 hours

Investors & Evaluators

Assess Our Research Depth

For investors and institutional evaluators assessing MedhAnkura's research capability, our team is available for a technical briefing covering methodology, outcomes data, and the research-to-IP pipeline.

Request a Briefing

Full technical briefing available
NDA-covered deep dives on request
Research team available for Q&A