Published: 10:55 AM, 09 November 2026
Sanjida Alam Eshra Receives Healthcare Innovation Award 2026
Sanjida Alam Eshra has received the prestigious Healthcare Innovation Award 2026 in recognition of her contribution to international research. The award was presented by Eudoxia Research University, USA, in collaboration with the Eudoxia Research Centre, India.
The recognition came during the International Royal Golden Fellow Award 2026 Ceremony and the Fifth International Conference on Recent Trends in Multidisciplinary Research (ICORM 5.0–2026), held on September 28 and 29, 2026. The conference selection committee reviewed numerous research papers and abstracts submitted by researchers from different countries. Among the submissions, Eshra’s research abstract was recognized for its insightful perspective and strong alignment with the conference theme, leading to her selection as one of the distinguished recipients of the international award.
At the international conference, Eshra presented her research paper titled “Multimodal AI System for Early Cancer Detection through Integrating Imaging, Genomic Profiles, and Clinical Risk Indicators.” The study proposes an integrated artificial intelligence-based approach to cancer detection by combining medical imaging, genomic characteristics, and patient-specific clinical risk indicators.
The primary objective of the research is to explore how health-related information from multiple sources can be integrated to facilitate a broader analysis of potential early-stage cancer indicators and associated risk patterns. The application of advanced data analytics and artificial intelligence in this area could open new avenues for future research into early cancer detection and risk assessment.
Drawing on her academic background in Business Analytics, Eshra connects the concepts of data integration and predictive modelling with precision oncology, an emerging field of modern cancer research and treatment. Rather than relying solely on medical scans, her proposed approach incorporates genetic characteristics and patient-level clinical indicators to provide a more comprehensive perspective on cancer risk assessment. However, further research, clinical testing, and scientific validation would be necessary to establish the approach's effectiveness in clinical practice.
The conference brought together delegates from more than five countries, along with distinguished researchers, scientists, academics, and professionals from around the world. Awards were presented across multiple categories, making the event an international platform for exchanging ideas on multidisciplinary research, innovation, and contemporary scientific developments.
The award selection process for ICORM 5.0–2026 was overseen by an internationally recognized Central Organizing Committee comprising distinguished scholars and institutional leaders. Key members included Chief Patron Professor Dr. Rhituraj Saikia, President of Eudoxia Research University, USA; Patron Professor Dr. Caleb Moyo, Vice-Chancellor of Eudoxia Research University, USA; Convener Professor Dr. Pratisha Kumari, Vice President and Managing Director of Eudoxia Research University, USA; Dr. Bulus Pikitda, Dean of Humanities, Eudoxia Research University, USA; Organizing Secretary Dr. Rania Lampou, Dean of Academic Affairs and Research, Eudoxia Research University, USA; Dr. Bipin Kumar Shah, Director of Outreach, Eudoxia Research Centre, Mumbai, India; Coordinator Dr. Smreeti Mehta, Registrar of Eudoxia Research University, USA; and Absa Burhan of the European Institute of Management and Technology, Switzerland.
The conference's research evaluation criteria included originality, professional relevance, innovation, sustainability, and broader societal impact. Eshra's research attracted particular attention for presenting an interdisciplinary perspective on the potential application of multimodal data analysis and artificial intelligence to the challenge of early cancer detection.
The research direction may have broader relevance across healthcare systems worldwide, where cancer diagnosis often involves information collected and analysed separately through medical imaging, genetic testing, and clinical assessments. Integrating these different sources of information could encourage further research into more coordinated and comprehensive cancer detection strategies.
In the United States, this area of research is relevant to ongoing efforts to advance precision oncology and explore more equitable approaches to cancer screening and clinical risk assessment. In Bangladesh, it could provide a potential direction for long-term research into practical, resource-conscious healthcare technologies and decision-support systems, subject to data availability, clinical validation, and infrastructure development.
Sanjida Alam Eshra's international recognition highlights the growing importance of interdisciplinary research and the integration of information technology, data analytics, and artificial intelligence in healthcare. Her work also points to promising research opportunities in early cancer detection and individualized risk assessment, contributing to the broader discussion on the future of technology-driven healthcare innovation.
The recognition came during the International Royal Golden Fellow Award 2026 Ceremony and the Fifth International Conference on Recent Trends in Multidisciplinary Research (ICORM 5.0–2026), held on September 28 and 29, 2026. The conference selection committee reviewed numerous research papers and abstracts submitted by researchers from different countries. Among the submissions, Eshra’s research abstract was recognized for its insightful perspective and strong alignment with the conference theme, leading to her selection as one of the distinguished recipients of the international award.
At the international conference, Eshra presented her research paper titled “Multimodal AI System for Early Cancer Detection through Integrating Imaging, Genomic Profiles, and Clinical Risk Indicators.” The study proposes an integrated artificial intelligence-based approach to cancer detection by combining medical imaging, genomic characteristics, and patient-specific clinical risk indicators.
The primary objective of the research is to explore how health-related information from multiple sources can be integrated to facilitate a broader analysis of potential early-stage cancer indicators and associated risk patterns. The application of advanced data analytics and artificial intelligence in this area could open new avenues for future research into early cancer detection and risk assessment.
Drawing on her academic background in Business Analytics, Eshra connects the concepts of data integration and predictive modelling with precision oncology, an emerging field of modern cancer research and treatment. Rather than relying solely on medical scans, her proposed approach incorporates genetic characteristics and patient-level clinical indicators to provide a more comprehensive perspective on cancer risk assessment. However, further research, clinical testing, and scientific validation would be necessary to establish the approach's effectiveness in clinical practice.
The conference brought together delegates from more than five countries, along with distinguished researchers, scientists, academics, and professionals from around the world. Awards were presented across multiple categories, making the event an international platform for exchanging ideas on multidisciplinary research, innovation, and contemporary scientific developments.
The award selection process for ICORM 5.0–2026 was overseen by an internationally recognized Central Organizing Committee comprising distinguished scholars and institutional leaders. Key members included Chief Patron Professor Dr. Rhituraj Saikia, President of Eudoxia Research University, USA; Patron Professor Dr. Caleb Moyo, Vice-Chancellor of Eudoxia Research University, USA; Convener Professor Dr. Pratisha Kumari, Vice President and Managing Director of Eudoxia Research University, USA; Dr. Bulus Pikitda, Dean of Humanities, Eudoxia Research University, USA; Organizing Secretary Dr. Rania Lampou, Dean of Academic Affairs and Research, Eudoxia Research University, USA; Dr. Bipin Kumar Shah, Director of Outreach, Eudoxia Research Centre, Mumbai, India; Coordinator Dr. Smreeti Mehta, Registrar of Eudoxia Research University, USA; and Absa Burhan of the European Institute of Management and Technology, Switzerland.
The conference's research evaluation criteria included originality, professional relevance, innovation, sustainability, and broader societal impact. Eshra's research attracted particular attention for presenting an interdisciplinary perspective on the potential application of multimodal data analysis and artificial intelligence to the challenge of early cancer detection.
The research direction may have broader relevance across healthcare systems worldwide, where cancer diagnosis often involves information collected and analysed separately through medical imaging, genetic testing, and clinical assessments. Integrating these different sources of information could encourage further research into more coordinated and comprehensive cancer detection strategies.
In the United States, this area of research is relevant to ongoing efforts to advance precision oncology and explore more equitable approaches to cancer screening and clinical risk assessment. In Bangladesh, it could provide a potential direction for long-term research into practical, resource-conscious healthcare technologies and decision-support systems, subject to data availability, clinical validation, and infrastructure development.
Sanjida Alam Eshra's international recognition highlights the growing importance of interdisciplinary research and the integration of information technology, data analytics, and artificial intelligence in healthcare. Her work also points to promising research opportunities in early cancer detection and individualized risk assessment, contributing to the broader discussion on the future of technology-driven healthcare innovation.
