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Combined and Complex Treatment-Optimal Therapies in Rectal Cancer
Despite advances in medicine and national screening there is a continuous increase in the incidence of rectal cancer. Surgical treatment remained the...
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Healthcare Technologies Serving Cancer Diagnosis and Treatment
Fighting cancer is a life-time challenge for the cancer patient. Early prediction and diagnosis of cancer may extend the survival rate. The advent of...
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New Approach for Predicting Optimal Neoadjuvant Treatment in Breast Cancer Patients Using a Dynamic Treatment Graph
Multi-omics approaches play a crucial role in breast cancer treatment planning by providing a comprehensive view of the molecular underpinnings of...
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Feedforward Neural Network in Cancer Treatment Response Prediction
Recently, research efforts are exerted on cancer treatment prediction based on the biomarkers related to the tumor. In order to save time and human...
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Nanomedicine for Prostate Cancer Treatment
Prostate cancer (PrC) is the most common cancer — after skin cancer — and the fifth most aggressive neoplasm among men worldwide. In most cases, PrC...
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Nanotechnology Based Photodynamic Therapy for Cancer Treatment
The application of Nanotechnology based photodynamic therapy (PDT) in the medical area is considered as a promising alternative treatment modality to...
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Computational approaches to modelling and optimizing cancer treatment
Computational models can be applied to optimize treatment schedules and model treatment responses in cancer therapy. In this Review, we provide an...
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Cancer
Hormones and hormone receptors play a major role in the development of cancer. With most human breast cancers, for example, the hormone estrogen is...
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Development of a Force Feedback Control for Robotic Assisted Liver Cancer Treatment
Liver cancer has become the third most common cause of cancer-related deaths, being ranked as the sixth most common cancer globally. The aim of this...
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Anti-cancer Nanotechnology
Nanomaterials have been widely used for cancer therapy in many years, receiving enhanced therapeutic efficacy compared with conventional strategy....
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Breast Cancer Progression Prediction for Care Treatment Efficiency and Intelligent Adaptation, Based on AI Algorithm Classification
In recent years death rates is extremely increasing due to breast cancer. Currently, it is the most commonly diagnosed malignancy among women around...
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Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects
PurposeArtificial intelligence (AI) has contributed to the advancement of medical research, particularly cancer research. AI technology is an...
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Noninvasive measurement of body temperature distribution during radiofrequency hyperthermia for cancer treatment
Radiofrequency hyperthermia is a treatment that involves heating cancer tissue by supplying a 10 to 100 MHz radiofrequency current through an...
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Unleashing the Potential of Ibrutinib-Loaded Nanoparticles for Cancer Treatment—A Comprehensive Review
This review provides a comprehensive examination of ibrutinib (Ibr), highlighting its wide-ranging utilization in the treatment of diverse...
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Preparation and In Vitro Evaluation of 5-Fluorouracil-Loaded PCL Nanoparticles for Breast Cancer Treatment
Breast cancer is a significant public health issue in both developed and develo** countries. Chemotherapy is the primary method of treatment to...
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Multi-objective optimization of cancer treatment using the multi-objective gray wolf optimizer (MOGWO)
The use of mathematical modeling to study biological phenomena is one of the best methods available for studying these phenomena. The development of...
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SVM-based Pre- and Post-treatment Cancer Segmentation from Lung and Abdominal CT Images via Neighborhood-Influenced Features
Chakraborty, Tiyasa Bhadra, Ashok Kumar Nandi, DebashisIn real medical applications, proper measurement of cancer disease area is very important,...
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On the Design Optimization of a Parallel Robotic System for Liver Cancer Treatment
The paper presents the design optimization of a parallel robotic system designed for liver cancer treatment (ProHep-LCT). Liver cancer and especially...
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Role of Computational Fluid Dynamics in Cancer
Millions of people die from cancer every year, and despite considerable medical advancements, there are still a lot of challenges that need to be...
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Cancer Classification Using Gene Expression Data
Cancer poses a significant global health challenge, necessitating personalized therapeutic approaches. Genomic prediction, utilizing large-scale...