An expert talk on Onco AI Works was organized to provide faculty with insights into the transformative role of Artificial Intelligence in oncology. The session aimed to bridge the gap between emerging technologies and healthcare by highlighting how AI is revolutionizing cancer detection, diagnosis, treatment planning, and patient care.
The event was delivered by a distinguished expert in the field of AI-driven healthcare, who shared valuable knowledge on the integration of machine learning and deep learning techniques in cancer research. The speaker explained how AI models are trained using large datasets such as medical images, genomic data, and clinical records to identify patterns that may not be easily detected by human observation. Real-world applications, including early tumor detection through imaging techniques like MRI and CT scans, were discussed in detail.
The session also focused on the concept of personalized medicine, where AI helps in tailoring treatment plans based on an individual patient’s genetic profile and medical history. The expert emphasized the importance of predictive analytics in improving survival rates and reducing treatment costs. Additionally, ethical considerations, data privacy, and the challenges of implementing AI in healthcare systems were thoughtfully addressed.
Students actively participated in the interactive session, asking questions about career opportunities, required skill sets, and future advancements in Onco AI. The talk inspired attendees to explore interdisciplinary fields combining computer science and medical sciences.
Overall, the expert talk on Onco AI Works was highly informative and enlightening. It enhanced the understanding of how artificial intelligence can significantly impact the future of cancer care and motivated students to contribute to this rapidly evolving domain.
AIM of the Event:
- To provide participants with a clear understanding of the role of Artificial Intelligence in oncology and cancer care.
- To introduce advanced AI techniques such as machine learning and deep learning used in cancer detection and diagnosis.
- To create awareness about the applications of AI in medical imaging, predictive analysis, and personalized treatment planning.
- To highlight current challenges, ethical issues, and data privacy concerns in implementing AI in healthcare.
- To encourage students to explore interdisciplinary career opportunities in AI and medical sciences.
- To enhance knowledge about real-world case studies and innovations in Onco AI.
- To promote critical thinking on how technology can improve healthcare outcomes and patient survival rates.
Guest/Speakers of the Event (If any):
| Name | Designation | Affiliation |
|---|---|---|
| Dr. Amit Agarwal | Professor, Medical AI | Engineering Institute of Technology, Perth, Australia |
| Participating School | |
|---|---|
| School/Department Name | Year/Department |
| School of Engineering & Computing | (2nd Year, 3rd Year, 4th Year) |
Department:
- Department of Computer Science Engineering
Is this Event Under IIC?
- Yes, Under IIC
Is the event in collaboration with another school/Department?
- No
Date, Time & Venue of the Event:
- 09-May-2026 to 09-May-2026
- 10:00 am - 04:00 pm
- Seminar Hall - First Floor (Main Building)
Event Coordinator
- Mr. Govind Singh Panwar
Contact Person:
- Mr. Govind Singh Panwar
Event Media Post: