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Home > Buzz > Data Driven Healing Suneeta Modekurtys Mission to Improve Cancer Therapy and Quality of Life for Survivors

Data-Driven Healing: Suneeta Modekurty’s Mission to Improve Cancer Therapy and Quality of Life for Survivors

Updated on: 04 November,2024 03:04 PM IST  |  Mumbai
Buzz | sumit.zarchobe@mid-day.com

Suneeta's research centers on identifying novel molecular signatures and biomarkers to improve the efficacy of cancer therapies.

Data-Driven Healing: Suneeta Modekurty’s Mission to Improve Cancer Therapy and Quality of Life for Survivors

Suneeta Modekurty

Suneeta Modekurty is a seasoned data scientist with a specialized focus on healthcare and bioinformatics, particularly in the field of cancer research. She has made significant contributions to the understanding and treatment of both pancreatic and colorectal cancers. Her expertise, built upon her Master of Science in Bioinformatics from Indiana University, lies in leveraging advanced data science techniques to uncover critical insights from complex biological data.


Suneeta's research centers on identifying novel molecular signatures and biomarkers to improve the efficacy of cancer therapies. She is relentlessly contributing to understanding oxaliplatin-induced peripheral neuropathy in colorectal cancer by identifying molecular signatures that may influence treatment outcomes. Additionally, she has delved into single-cell RNA sequencing to identify immune biomarkers involved in T-cell exhaustion in pancreatic adenocarcinoma, aiding in the development of targeted therapies.

Her work is characterized by a meticulous approach, blending strong data science skills with deep biological insights to advance cancer research. Suneeta is well-versed in using bioinformatics tools and techniques such as Single cell and bulk RNA sequencing analysis, multivariate analysis, and immune profiling, all aimed at improving patient outcomes. Her contributions are marked by a passion for pushing the boundaries of what is possible in cancer treatment, using data as the foundation to drive breakthroughs.

Currently, as a bioinformatics researcher, Suneeta collaborates with oncologists and other researchers at leading institutions, including Washington University and the Siteman Cancer Center. Her work focuses on translating complex data into actionable clinical insights, advancing precision medicine and improving the lives of cancer patients.

Suneeta's motivation behind her cancer research is deeply personal. Having witnessed loved ones lose their battles to cancer, and as a survivor herself, she understands the physical and emotional toll this disease can take. Her journey through treatment, combined with her training in bioinformatics and data science, has fuelled her commitment to making a meaningful difference in the lives of cancer patients. As Suneeta herself expresses, “Cancer Research is my way of giving back. I've lived through the journey myself. For me, every data point, every analysis is a step forward. Not just towards survival but giving survivors a life free from limitations. It's about making a difference so that they can live fully again!”

Suneeta believes that life after cancer treatment should not only be about survival but about improving the quality of life for survivors. This drives her relentless pursuit of identifying novel molecular signatures involved in chemotherapy-induced peripheral neuropathy-a condition that, if left unnoticed, can result in lifelong disability. By focusing on this often-overlooked aspect of cancer treatment, she aims to ensure that patients not only overcome the disease but also live healthier, fuller lives post-treatment.

For Suneeta, this work is more than a professional endeavour; it is her way of giving back to the community and expressing her deep gratitude to the team at Washington University in St. Louis and the Siteman Cancer Center, who played a vital role in her own recovery. She channels her passion into advancing cancer research, determined to improve outcomes for future patients, inspired by the care she once received.

 

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