• +919888374777
  • This email address is being protected from spambots. You need JavaScript enabled to view it.

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

Image

Articles

Innovative Approaches in Early Detection of Cancer Using Medical Imaging Techniques

Dr. Arvind Kumar, Dr. Priya Sharma, Dr. Rahul Desai, Dr. Emily Jameson, Dr. Neha Gupta, Dr. Manoj Patel

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The detection of cancer at its early stages remains a major challenge in clinical pathology. This paper explores the role of medical imaging technologies such as as MRI, PET scans, and CT scans in identifying cancerous cells. The study highlights the effectiveness of AI-driven imaging systems and the role of biomarkers in improving the accuracy of these scans. The research uses real-time case studies to evaluate the sensitivity and specificity of these imaging modalities in detecting cancers of varying types, including breast, lung, and prostate cancers. By combining imaging techniques with molecular analysis, this work proposes a potential framework for more efficient cancer diagnosis, with promising implications for clinical practice and patient outcomes.

The Role of Tumor Microenvironment in Cancer Imaging and Therapy Response

Dr. Anjali Verma, Dr. Sunil Yadav, Dr. Suman Patel, Dr. Liam McGregor, Dr. Akash Mehta, Dr. Arvind Joshi

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The tumor microenvironment plays a critical role in cancer progression and therapy response. This study investigates how advanced imaging techniques, , such as functional MRI and molecular imaging, can provide insights into the tumor microenvironment’s heterogeneity. The research focuses on assessing how these imaging tools can predict the efficacy of therapeutic interventions, such as immunotherapy and chemotherapy. Furthermore, the paper discusses how medical imaging can help track tumor evolution and resistance mechanisms over time. The findings suggest that integrating microenvironmental data from imaging with clinical pathology could lead to more personalized and effective treatment strategies for cancer patients.

AI-Powered Medical Imaging for Predicting Cancer Recurrence in Post-Treatment Patients

Dr. Ramesh Kumar, Dr. Reema Verma, Dr. David Clark, Dr. Varsha Sharma, Dr. Ravi Singh, Dr. Manju Gupta

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Predicting cancer recurrence post-treatment is crucial for timely intervention and better prognosis. This paper discusses the integration of artificial intelligence (AI) algorithms with medical imaging to predict recurrence in patients who have undergone treatment for breast cancer. The study leverages a dataset of post-treatment imaging scans and applies machine learning models to detect early signs of recurrence that may be missed by conventional methods. The research presents the use of AI-based models to analyze changes in imaging biomarkers and correlate them with patient survival rates. The results suggest that AI-enhanced imaging can significantly improve early detection and lead to more effective management of cancer recurrence.

Advancements in Radiogenomics for Cancer Imaging and Personalized Treatment

Dr. Nitin Kumar, Dr. Anita Choudhury, Dr. James Robertson, Dr. Shweta Rai, Dr. Abhinav Sharma, Dr. Leela Desai

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Radiogenomics combines radiological imaging with genomic data to provide a more comprehensive understanding of cancer biology. This paper presents a study on how how radiogenomic techniques can be utilized to identify specific genetic alterations in tumors using advanced imaging modalities. By correlating imaging features with genetic information, the research aims to develop personalized treatment plans for cancer patients. The study uses data from glioblastoma and breast cancer patients to demonstrate the potential of radiogenomics in predicting treatment responses and patient outcomes. This integration of imaging and genetic data offers a promising approach for enhancing precision medicine in oncology.

Magnetic Resonance Imaging in Predicting Treatment Outcomes in Ovarian Cancer

Dr. Manoj Kumar, Dr. Vinita Agarwal, Dr. George Carter, Dr. Manju Chawla, Dr. Tanvi Gupta, Dr. Samuel Reyes

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Ovarian cancer is one of the most lethal cancers due to its late-stage detection and resistance to treatment. This research investigates the role of magnetic resonance resonance imaging (MRI) in predicting the treatment outcomes of ovarian cancer patients. The study focuses on advanced MRI techniques, including diffusion-weighted imaging (DWI) and functional MRI (fMRI), to assess tumor response during and after chemotherapy. The paper demonstrates how MRI-based biomarkers can predict the likelihood of recurrence and metastasis. The findings suggest that MRI could serve as a non-invasive, reliable tool for monitoring treatment efficacy and guiding therapy decisions in ovarian cancer patients.

Integration of Molecular Imaging with Clinical Pathology for Tumor Grading in Lung Cancer

Dr. Pooja Mishra, Dr. Shubham Gupta, Dr. Michael Evans, Dr. Aarti Kapoor, Dr. Tanushree Pandey, Dr. Luca Ferrari

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Accurate tumor grading is essential for predicting the prognosis of lung cancer patients and selecting appropriate treatment strategies. This paper examines the integration of of molecular imaging techniques, such as PET scans and MRI, with clinical pathology to refine tumor grading in lung cancer. By combining the metabolic data from molecular imaging with histopathological findings, the research proposes a more precise and dynamic grading system for lung tumors. This integrated approach allows for better assessment of tumor aggressiveness, facilitating tailored treatment plans. The results suggest that molecular imaging could complement traditional pathology for more accurate tumor classification and improved patient outcomes.

Role of Artificial Intelligence in Enhancing the Accuracy of Cancer Diagnosis through Imaging

Dr. Vikram Singh, Dr. Nisha Mehta, Dr. Brian Walker, Dr. Seema Agarwal, Dr. Ravi Kumar, Dr. Evelyn Robinson

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Artificial intelligence (AI) has the potential to revolutionize cancer diagnosis by enhancing the accuracy of medical imaging techniques. This paper explores the role of deep deep learning algorithms in analyzing radiological images for cancer detection. The study examines the effectiveness of AI models in detecting early-stage cancers in mammography, CT scans, and MRI images. By applying convolutional neural networks (CNNs) and other machine learning techniques, the research demonstrates significant improvements in diagnostic accuracy and speed. The results show that AI can assist radiologists in identifying subtle patterns in imaging that may not be visible to the human eye, ultimately leading to earlier diagnosis and better treatment outcomes.

Application of Hybrid Imaging Techniques in Tumor Staging and Prognosis Prediction

Dr. Radhika Shah, Dr. Rajeev Joshi, Dr. Lucas Mitchell, Dr. Harini Rao, Dr. Suresh Patil, Dr. Noor Ahmed

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Tumor staging is crucial for determining the prognosis and treatment course in cancer patients. This paper focuses on the application of hybrid imaging techniques, combining combining PET-CT and PET-MRI, in staging various cancers, including colorectal and pancreatic cancers. The study investigates how these advanced imaging modalities can provide more accurate and detailed information about tumor size, metastasis, and involvement of surrounding tissues. The research also explores how hybrid imaging improves prognostic predictions by identifying patients who are at higher risk of recurrence. The findings indicate that hybrid imaging offers significant advantages over conventional single-modality imaging, providing a more comprehensive assessment of cancer progression.

Exploring the Use of Ultrasound Imaging in Real-Time Cancer Diagnosis and Monitoring

Dr. Kavita Chawla, Dr. Parul Singh, Dr. Richard Lee, Dr. Manoj Gupta, Dr. Rohit Agarwal, Dr. Mei Wong

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Ultrasound imaging, although widely used in clinical practice, has seen limited application in cancer diagnosis compared to other modalities. This research explores the potential of ultrasound in real-time cancer diagnosis and monitoring. By using advanced techniques like elastography and contrast-enhanced ultrasound (CEUS), the study evaluates the role of ultrasound in detecting early tumors, guiding biopsies, and assessing treatment responses. The paper also discusses the cost-effectiveness and accessibility of ultrasound compared to other imaging techniques, highlighting its potential in resource-limited settings. The study finds that ultrasound can be an effective, non-invasive tool for cancer diagnosis and monitoring, especially in abdominal and breast cancers.

Advancements in Immuno-Imaging for Targeted Cancer Therapy Monitoring

Dr. Akhil Reddy, Dr. Sanika Patel, Dr. Isabella Ortiz, Dr. Aman Gupta, Dr. Ravi Nair, Dr. Ananya Mehta

Year: 2022 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Immuno-imaging, which combines imaging techniques with immunological markers, has emerged as a promising tool in cancer therapy monitoring. This paper paper investigates recent advancements in immuno-imaging, particularly its application in monitoring targeted therapies for breast and lung cancer. The study focuses on the use of radiolabeled antibodies and nanoprobes in imaging the tumor’s response to immunotherapy. The research demonstrates how immuno-imaging can track the distribution of therapeutic agents and identify tumor sites that may not be detected through conventional imaging. The findings suggest that immuno-imaging could enhance the monitoring of treatment efficacy, leading to better therapeutic outcomes and more personalized cancer care.


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)

Flex

+91 9888374777
icmsetm@scitechconference.org