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Highlights of Current Issue 2026 | Vol 02 | Issue 07

Jayanthi Kanaka Ram...

Federated Learning in Oncology: Privacy-Preserving...

Cancer remains one of the leading causes of morbidity and mortality worldwide, creating an urgent need for advanced computational approaches that can improve diagnosis, p...

10.5281/zenodo.21324551
Jayanthi Kanaka Ram, Arvind Nair...

Artificial Intelligence for Drug Repurposing and T...

Cancer remains a leading cause of morbidity and mortality globally, with conventional drug discovery facing significant challenges including high development costs, prolo...

10.5281/zenodo.21311419
Vikram Patel, Shatrughna Nagrik, Manish Khanna, Ananya ...

Multi-Omics Machine Learning Models for Precision ...

Background: Cancer remains a leading cause of mortality worldwide, necessitating accurate prognostic tools to guide clinical decision-making and personalized treatment st...

10.5281/zenodo.21306819
Sanjay Deshpande, Shatrughna Nagrik, Harish Reddy, Asha...

Generative Artificial Intelligence for Clinical De...

Cancer remains a leading cause of global morbidity and mortality, necessitating innovative approaches to clinical decision-making. Generative artificial intelligence (Gen...

10.5281/zenodo.21297872
Ananya Deshmukh, Kunal Shah, Jayanthi Kanaka Ram...

Digital Twin Architectures for Personalized Cancer...

Digital twin technology represents a paradigm shift in precision oncology, enabling the creation of dynamic, patient-specific virtual replicas that integrate multimodal i...

10.5281/zenodo.21297550
Aditya Verma, Shatrughna Nagrik, Rohit Chatterjee, Priy...

Radiomics and Machine Learning for Predicting Immu...

Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has transformed the treatment landscape for numerous solid tumors, including non-small cell lung cancer (...

10.5281/zenodo.21284660
Meera Iyer, Vivek Rao, Shatrughna Nagrik, Shalini Nair,...

Artificial Intelligence for Automated Tumor Segmen...

Cancer remains one of the leading causes of mortality worldwide, necessitating continuous advancements in diagnostic and therapeutic strategies. Medical imaging plays a c...

10.5281/zenodo.21284548
Arvind Menon, Shatrughna Nagrik, Raghav Sharma, Neha Ku...

Multimodal Deep Learning for Integrating Radiology...

Precision oncology seeks to tailor cancer diagnosis, prognosis, and treatment according to the molecular and phenotypic characteristics of individual tumors. Recent advan...

10.5281/zenodo.21284293
Sneha Waghmare, Shatrughna Nagrik, Meera Nair, Arjun Ve...

Foundation Models for Automated Radiology Report G...

Radiology reports serve as the primary communication medium between radiologists and referring clinicians, providing critical information for diagnosis, treatment plannin...

10.5281/zenodo.21284177
Subhajit Giri, Sobhana Subhadarsini Purohit, Shamin Eab...

Exploring the Experiences of Accredited Social Hea...

Background: Accredited Social Health Activists (ASHAs) play a pivotal role in delivering community-based non-communicable disease (NCD) prevention and health promotion se...

10.5281/zenodo.21274528
Dinesh P., S. Parthiban, S. Nandhini, P. Krishnakumar, ...

Immunoglobulin E (IgE): From Discovery and Structu...

Immunoglobulin E (IgE) represents the fifth identified class of human immunoglobulins and plays a central, pivotal role in the pathogenesis of type I hypersensitivity rea...

10.5281/zenodo.21274289
Brij Raj Singh...

Pharmacognostic, Phytochemical Evaluation & DPPH S...

Ficus racemosa is an evergreen tree commonly referred to goolar and used in various traditional systems, is a member of the Moraceae family. The objective of this study i...

10.5281/zenodo.21274147
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