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International Conference on Clinical Pathology, Medical Imaging, and Cancer Research (IC-CPMICR)

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Articles

AI-Powered Diagnostics in Oncology: Enhancing Clinical Accuracy

Dr. Ananya Sharma, Dr. Vikram Desai, Dr. Priya Iyer, Dr. Suresh Kumar, Dr. Kavita Nair, Dr. Emily Thompson

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Artificial intelligence (AI) is transforming cancer diagnostics with unprecedented precision. This research utilizes a convolutional neural network (CNN) to analyze histopathological images of breast and lung cancer, achieving a diagnostic accuracy of 92.5%. The study also demonstrates a 40% reduction in analysis time compared to traditional methods, validating AI’s role in expediting clinical workflows. These results highlight AI's potential in enhancing diagnostic accuracy, minimizing human error, and improving patient outcomes in oncology.

Digital Pathology: Redefining the Future of Cancer Diagnosis

Dr. Nikhil Gupta, Dr. Rohan Mehta, Dr. Sneha Pillai, Dr. Rajesh Malhotra, Dr. Pooja Aggarwal, Dr. Mark Petersen

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Digital pathology offers a new frontier in clinical diagnostics, particularly for cancer detection. This paper evaluates whole-slide imaging (WSI) technologies and their ability to improve improve diagnostic accuracy by 18%. A global dataset of 10,000 cases was analyzed to compare digital pathology with traditional methods, revealing enhanced inter-pathologist agreement and faster diagnostic turnarounds. These findings emphasize digital pathology’s transformative potential in healthcare, driving precision diagnostics and informed treatment decisions.

Radiomics in Glioblastoma: Unlocking Tumor Biology through Imaging

Dr. Arun Patil, Dr. Meera Singh, Dr. Kavita Nair, Dr. Neha Verma, Dr. Vikram Kaushik, Dr. Catherine Wright

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Radiomics has emerged as a powerful tool in assessing glioblastoma multiforme aggressiveness. This study employed advanced MRI-based radiomics techniques to analyze 250 tumor scans . Results identified texture and shape-based features that correlate strongly with aggressive phenotypes, achieving a predictive accuracy of 93%. These insights lay the groundwork for precision oncology, enabling early intervention and personalized treatment strategies.

Nanoparticles in Medical Imaging: Revolutionizing Early Cancer Detection

Dr. Sandeep Jha, Dr. Priya Iyer, Dr. Ananya Roy, Dr. Vandana Joshi, Dr. Rajesh Malhotra, Dr. Luis Gomez

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Gold nanoparticles (AuNPs) have shown remarkable promise in medical imaging. This study evaluates their role in the early detection of colorectal cancer. By targeting tumor-specific antigens , AuNP-enhanced imaging achieved a 94% sensitivity rate in preclinical models. The study underscores nanotechnology’s potential to revolutionize cancer diagnostics through enhanced imaging capabilities, paving the way for earlier and more effective interventions.

Molecular Biomarkers in Breast Cancer: Recent Advances and Challenges

Dr. Neha Verma, Dr. Vikram Desai, Dr. Kavita Nair, Dr. Sneha Pillai, Dr. Rohan Mehta, Dr. Mia Collins

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Molecular biomarkers have become essential tools in breast cancer management. This study focuses on HER2, BRCA1/2, and PIK3CA mutations, analyzing 20,000 patient cases. Results Results confirm the clinical significance of multiplex biomarker panels in predicting treatment responses and improving survival rates. However, the standardization of biomarker assays remains a significant challenge. The study highlights ongoing efforts to integrate biomarker research into clinical practices, facilitating personalized medicine.

AI-Augmented Imaging for Rare Cancer Detection

Dr. Ananya Sharma, Dr. Suresh Kumar, Dr. Meera Singh, Dr. Priya Iyer, Dr. Sneha Pillai, Dr. William Huang

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Rare cancers often go undiagnosed due to the lack of reliable diagnostic tools. This study investigates AI-augmented imaging systems in identifying rare malignancies such as sarcomas sarcomas and neuroendocrine tumors. Using a dataset of 5,000 rare cancer cases, the system achieved an overall diagnostic accuracy of 88%. These findings demonstrate the transformative potential of AI to bridge gaps in rare cancer diagnostics and improve patient outcomes.

Fusion Imaging in Cancer Surgery: Advancing Tumor Localization

Dr. Vikram Kaushik, Dr. Pooja Aggarwal, Dr. Ananya Roy, Dr. Rohan Mehta, Dr. Rajesh Malhotra, Dr. Oliver Carter

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Fusion imaging, which combines PET and MRI modalities, enhances tumor localization during cancer surgeries. This research evaluates its impact on gastrointestinal cancer surgeries, revealing a 20% improvement in surgical accuracy. By reducing surgical margins and preserving healthy tissues, fusion imaging offers significant advantages in patient care. The study provides a comprehensive overview of the benefits and challenges of implementing this technology in clinical practice.

Liquid Biopsy Techniques: A Comparative Study in Cancer Diagnostics

Dr. Sneha Pillai, Dr. Nikhil Gupta, Dr. Meera Singh, Dr. Arun Patil, Dr. Neha Verma, Dr. George Anderson

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Liquid biopsies are transforming non-invasive cancer diagnostics. This paper compares circulating tumor DNA (ctDNA) and exosome-based assays across 500 cancer patients. The study finds ctDNA assays more sensitive in detecting early-stage cancers, with a sensitivity of 90%. These findings emphasize the clinical potential of liquid biopsies as a diagnostic tool, offering a safer alternative to tissue biopsies and enabling real-time disease monitoring.

Immune Profiling Using Advanced Imaging: Insights into Tumor Microenvironment

Dr. Suresh Kumar, Dr. Pooja Aggarwal, Dr. Rajesh Malhotra, Dr. Meera Singh, Dr. Priya Iyer, Dr. Emily Thompson

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Immune profiling is critical for understanding the tumor microenvironment (TME) and its influence on cancer progression. This study employs advanced imaging techniques, including multiplex immunofluorescence, to analyze immune cell distributions in melanoma patients. Results reveal specific immune signatures that predict response to checkpoint inhibitors, demonstrating the value of imaging-based immune profiling in guiding immunotherapy strategies.

Artificial Neural Networks in Pathology: Revolutionizing Cancer Image Classification

Dr. Rohan Mehta, Dr. Sneha Pillai, Dr. Arun Patil, Dr. Kavita Nair, Dr. Ananya Sharma, Dr. Mark Petersen

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Artificial neural networks (ANNs) have emerged as powerful tools for pathological image classification. This study employs a deep learning model to classify liver cancer histopathological histopathological images with 94% accuracy. The findings highlight the potential of ANNs to enhance diagnostic precision, reduce errors, and streamline pathology workflows, underscoring their role in transforming clinical diagnostics.


International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

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