ANALYSIS OF CLINICAL TRIAL REQUIREMENTS FOR CANCER DRUGS IN INDIA AND THE USA WITH INTEGRATION OF AI APPLICATIONS

With a fast rising burden in both developed and developing countries, cancer continues to be a major cause of illness and death worldwide. Disability-adjusted life years (DALYs) associated with cancer are expected to increase dramatically in India, whereas high incidence and death rates are still reported in the US despite sophisticated healthcare systems. This increasing burden emphasizes the necessity of strong and effective clinical trial frameworks for the development of cancer treatments. The criteria for clinical research in India and the US are compared in this study, with particular attention paid to trial registration procedures, ethical review systems, regulatory bodies, approval processes, and safety reporting deadlines. The Food and Drug Administration (FDA) in the United States has a highly organized regulatory system, whereas the Central Drugs Standard Control Organization (CDSCO) in India is progressively bringing its regulatory framework into line with international norms. Both systems prioritize patient safety, data integrity, and scientific rigor notwithstanding their variances. Additionally, the article describes developments in cancer treatments, such as immunotherapy, targeted therapy, and personalized medicine. Additionally, it emphasizes how artificial intelligence is increasingly helping to overcome obstacles including delayed recruiting and a lack of patient diversity, which will ultimately improve trial accuracy, speed, and accessibility worldwide.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-01
DOI
https://doi.org/10.5281/zenodo.19875561
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF CLINICAL TRIAL REQUIREMENTS FOR CANCER DRUGS IN INDIA AND THE USA WITH INTEGRATION OF AI APPLICATIONS

Hemant Verma*, Dr. Gurmeet S. Chhabra, Dr. Nimita Manocha
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

ANALYSIS OF CLINICAL TRIAL REQUIREMENTS FOR CANCER DRUGS IN INDIA AND THE USA WITH INTEGRATION OF AI APPLICATIONS

Hemant Verma*, Dr. Gurmeet S. Chhabra, Dr. Nimita Manocha
article en

Abstract

With a fast rising burden in both developed and developing countries, cancer continues to be a major cause of illness and death worldwide. Disability-adjusted life years (DALYs) associated with cancer are expected to increase dramatically in India, whereas high incidence and death rates are still reported in the US despite sophisticated healthcare systems. This increasing burden emphasizes the necessity of strong and effective clinical trial frameworks for the development of cancer treatments. The criteria for clinical research in India and the US are compared in this study, with particular attention paid to trial registration procedures, ethical review systems, regulatory bodies, approval processes, and safety reporting deadlines. The Food and Drug Administration (FDA) in the United States has a highly organized regulatory system, whereas the Central Drugs Standard Control Organization (CDSCO) in India is progressively bringing its regulatory framework into line with international norms. Both systems prioritize patient safety, data integrity, and scientific rigor notwithstanding their variances. Additionally, the article describes developments in cancer treatments, such as immunotherapy, targeted therapy, and personalized medicine. Additionally, it emphasizes how artificial intelligence is increasingly helping to overcome obstacles including delayed recruiting and a lack of patient diversity, which will ultimately improve trial accuracy, speed, and accessibility worldwide.

Zenodo (CERN European Organization for Nuclear Research)
Partnerships for the goals
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ANALYSIS OF CLINICAL TRIAL REQUIREMENTS FOR CANCER DRUGS IN INDIA AND THE USA WITH INTEGRATION OF AI APPLICATIONS — Hemant Verma*, Dr. Gurmeet S. Chhabra, Dr. Nimita Manocha · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS