Mahesh Recharla

Oracle EBS Onsite Lead, Biogen, Durham, NC

Mahesh Recharla is a distinguished expert in AI-driven healthcare and insurance innovation, leveraging Machine Learning, Deep Learning, Neural Networks, and Agentic AI to revolutionize patient support and financial accessibility in healthcare. His extensive research spans predictive healthcare models, automated pharmacovigilance, AI-enhanced neuroimaging, and digital transformation in biopharmaceutical services.

Know More About Me

Mahesh Recharla

As a visionary author and thought leader, Mahesh has explored the intersection of AI, ethics, and policy in healthcare innovations, addressing critical challenges in bias, privacy, and compliance. His work in cloud-based data integration and real-time drug pricing optimization showcases his commitment to enhancing patient outcomes and streamlining healthcare accessibility.  

A passionate researcher and advocate for cutting-edge technology, Mahesh actively contributes to the advancement of AI-powered risk management in insurance plans, ensuring personalized and efficient healthcare solutions. Through his writing, he continues to educate, inspire, and shape the future of AI in patient support and medical advancements, making a lasting impact in the industry.



My Achivements

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My Awards

Global Edu-Legendary Awards
International Educational Ambassador

Everything About Me

Experience

2010 - 2011Oracle EBS Developer
2013 - 2014Sr Oracle Apps Techno Functional consultant
2014 - 2015Sr Oracle Apps Techno Functional Consultant
2015 - 2015Sr Oracle Apps Techno Functional Consultant
2015 - 2016Sr. Oracle Apps Tehcno Functional consultant
2016 - 2017Sr. Oracle Apps Developer
2017 - 2018Sr IT Developer
2018 - 2020Oracle EBS Developer
2020 - 2021Oracle EBS Developer
2021 - PresentOracle EBS Developer

My Patents

Graphical User Interface in Remote Patient Consultation
Patient Monitoring Bedside Unit
Precision Irrigation Controller Device
Gesture-Controlled Smart Glass

Keynotes

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My Blogs

2020-Targeted Gene Therapy for Spinal Muscular Atrophy: Advances in Delivery Mechanisms and Clinical Outcomes

2021-Machine Learning Models for Early Disease Detection: A Big Data Approach to Personalized Healthcare

2021-Advancing Healthcare Innovation in 2021: Integrating AI, Digital Health Technologies, and Precision Medicine for Improved Patient Outcomes

2021-Innovations in Spinal Muscular Atrophy: From Gene Therapy to Disease-Modifying Treatments

2022-From Data to Cure: Leveraging Artificial Intelligence and Big Data Analytics in Accelerating Disease Research and Treatment Development

2022-Cloud-Based Data Integration and Machine Learning Applications in Biopharmaceutical Supply Chain Optimization

2022-Revolutionizing Patient Care with AI and Cloud Computing: A Framework for Scalable and Predictive Healthcare Solutions

2023-AI-Enhanced Neuroimaging and Deep Learning-Based Early Diagnosis of Multiple Sclerosis and Alzheimer’s

2023-Evaluating Drug Efficacy and Patient Outcomes in Personalized Medicine: The Role of AI-Enhanced Neuroimaging and Digital Transformation in Biopharmaceutical Services

2023-Next-Generation Technologies for Early Disease Detection and Treatment: Harnessing Intelligent Systems and Genetic Innovations for Improved Patient Outcomes

2023-Advancing Patient Outcomes in Personalized Medicine: The Role of AI-Enhanced Neuroimaging and Digital Transformation in Modern Biopharmaceutical Services

2023-Integrated Genomic and Neurobiological Pathway Mapping for Early Detection of Alzheimer’s Disease

2024-Advances in Therapeutic Strategies for Alzheimer’s Disease: Bridging Basic Research and Clinical Applications

2024-Antioxidants, Biological Markers, Catalase, Glutathione Peroxidase, Chronic Periodontitis, Saliva, Smokeless tobacco, Smoker.

2025-Postpartum Depression: Molecular Insights and AI-Augmented Screening Techniques for Early Intervention

2025-AI-Driven Drug Discovery: Transforming Neurological and Neurodegenerative Disease Treatment Through Bioinformatics and Genomic Research

2025-Optimizing Edge Computing for Big Data Processing in Smart Cities

2025-The Impact of Big Data and Cloud Computing on Genetic Testing and Reproductive Health Management

2025-Revolutionizing Healthcare with Generative AI: Enhancing Patient Care, Disease Research, and Early Intervention Strategies

2025-Harnessing AI and Machine Learning for Precision Medicine: Advancements in Genomic Research, Disease Detection, and Personalized Healthcare

2025-Translational Approaches To Commercializing Neurodegenerative Therapies: Bridging Laboratory Research With Clinical Practice

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