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Marker Discovery and Prognostic Modeling in Prostate Cancer to Identify Optimal Therapy and Intervention.

Principal Investigator
Name
sumit maan
Degrees
Ph.D.
Institution
Indian Institute of Technology, Mandi
Position Title
Research Scholar
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCOI-1594
Initial CDAS Request Approval
Jun 24, 2024
Title
Marker Discovery and Prognostic Modeling in Prostate Cancer to Identify Optimal Therapy and Intervention.
Summary
This research proposes optimizing prostate cancer therapy response by integrating images, biomarkers, and prognostic modeling. lts success could markedly enhance patient outcomes in the treatment and occurrence process, This research promises a transformative impact on prostate cancer management by advancing detection, characterization, and personalized treatment planning. Utilizing data from the various resources, alongside segmented masks, enhances analysis depth, providing detailed insights into prostate lesion distribution and extent, and improving diagnostic and treatment precision.
Aims

Prostate cancer (or Prostate Adenocarcinoma) is the second most common cancer among Indian males. lt accounts for about 7% of all cancer cases in men in India. Globally, prostate cancer is the fourth most common cancer overall. In the United Stales, prostate cancer is the second most common cancer in men after skin cancer. Prostate cancer is more common in older men, with the average age of diagnosis being around 66. African-American men have a higher risk of developing prostate cancer compared to men of other racial or ethnic groups. This research proposal outlines a comprehensive approach combining modalities, biomarker discovery, and prognostic modeling to optimize treatment planning and outcomes in prostate cancer patients,

Collaborators

We are collaborating with medical and research institutions regarding our research in INDIA.