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We propose a one mutation model for cancer with a mutation rate that increases with time. Under rather general hypotheses the number of mutations is necessarily a (non homogeneous) Poisson process with the prescribed mutation rate. We show…

Probability · Mathematics 2008-08-19 Rinaldo B. Schinazi

According to GHO (Global Health Observatory (GHO), the high prevalence of a large variety of diseases such as Ischaemic heart disease, stroke, lung cancer disease and lower respiratory infections have remained the top killers during the…

Artificial Intelligence · Computer Science 2020-09-17 Mayssa Ben Kahla , Dalel Kanzari , Ahmed Maalel

In this study, a morphological differentiation-based method has been introduced which employs temperature distribution on the tissue surface to detect brain tumor's malignancy. According to the common tumor CT scans, two different scenarios…

Computer Vision and Pattern Recognition · Computer Science 2023-02-22 Hamed Hani , Afsaneh Mojra

Cancer cells possess a nearly universal set of characteristics termed the hallmarks of cancer, including replicative immortality and resisting cell death. Dysregulated differentiation is present in virtually all cancers yet has not yet been…

Populations and Evolution · Quantitative Biology 2022-10-25 Zachary Compton , Kathleen Hanlon , Carolyn C. Compton , Athena Aktipis , Carlo C. Maley

Comparative studies of cancer-related genes allow us to gain novel information about the evolution and function of these genes, but also to understand cancer as a driving force in biological systems and species life histories. So far,…

Populations and Evolution · Quantitative Biology 2021-12-15 Ciara Baines , Richard Meitern , Randel Kreitsberg , Tuul Sepp

Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and addressing health disparities. Although traditional…

Machine Learning · Computer Science 2025-12-23 Soheil Hashtarkhani , Brianna M. White , Benyamin Hoseini , David L. Schwartz , Arash Shaban-Nejad

Computational systems and methods are often being used in biological research, including the understanding of cancer and the development of treatments. Simulations of tumor growth and its response to different drugs are of particular…

Tuberculosis (TB) is a contagious disease that causes 1.5 million deaths per year globally. Early diagnosis of TB patients is critical to control its spread. However, standard TB diagnostic tests such as sputum culture take days to weeks to…

Medical Physics · Physics 2022-08-26 Ubaid Ullah , Zarfishan Tahir , Obaidullah Qazi , Shaper Mirza , M. Imran Cheema

Metastasis is one of the most enigmatic aspects of cancer pathogenesis and is a major cause of cancer-associated mortality. Secondary bone cancer (SBC) is a complex disease caused by metastasis of tumor cells from their primary site and is…

Molecular Networks · Quantitative Biology 2015-06-03 Shikha Vashisht , Ganesh Bagler

Tumors can manifest in various forms and in different areas of the human body. Brain tumors are specifically hard to diagnose and treat because of the complexity of the organ in which they develop. Detecting them in time can lower the…

Image and Video Processing · Electrical Eng. & Systems 2024-03-18 Antonio Curci , Andrea Esposito

Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20\%. Due to their rarity, the diagnosis of these…

Most human carcinomas exhibit telomere abnormalities early in the carcinogenesis process suggesting that crisis caused by telomere shortening may be a necessary event leading to human carcinomas. Epidemiological records of the age at which…

Tissues and Organs · Quantitative Biology 2007-05-23 Hermann B. Frieboes , James P. Brody

Background: Although recorded cancer mortality should include both deaths from cancer and deaths from cancer treatment, there is evidence suggesting that the measure may be incomplete. To investigate the completeness of recorded prostate…

Populations and Evolution · Quantitative Biology 2020-01-03 H. Gilbert Welch , Michael J. Barry , William C Black , Yunjie Song , Elliott S. Fisher

Glioblastoma multiforme (GBM), the most aggressive primary brain tumour, exhibits low survival rates due to its rapid growth, infiltrates surrounding brain tissue, and is highly resistant to treatment. One major challenge is oedema…

Background and Objective: In an in-vivo situation, the tissue near the blood vessels is rich in oxygen supply compared to the one far from blood vessels. Hence, non-uniform oxygen distribution is observed in biological tissues. Our…

Tissues and Organs · Quantitative Biology 2023-11-08 Gopinath Sadhu , K S Yadav , Siddhartha Sankar Ghosh , D C Dalal

Cancer is a disease that takes millions of lives every year. Then, to propose treatments, avoid recurrence, and improve the patient's life quality, we need to analyze this disease from a biophysical perspective with a solid mathematical…

Quantitative Methods · Quantitative Biology 2024-07-09 Carlos M. Nieto , Oscar M. Pimentel , Fabio D. Lora-Clavijo

The fitness of somatic cells of metazoan, the ability of proliferation and survival, depends on microenvironment. In somatic evolution, a mutated cell in a tissue clonally expands abnormally because of its high fitness as normal cells in a…

Populations and Evolution · Quantitative Biology 2015-09-07 Xiang-Ping Jia , Hong Sun

Gender disparities in health outcomes have garnered significant attention, prompting investigations into their underlying causes. Glioblastoma (GBM), a devastating and highly aggressive form of brain tumor, serves as a case for such…

Applications · Statistics 2023-08-09 Solomon Eshun

Primary tumors infrequently lead to demise of cancer patients; instead, mortality and a significant degree of morbidity result from the growth of secondary tumors in distant organs (metastasis). It is well-known that malignant tumors induce…

Tissues and Organs · Quantitative Biology 2015-10-09 Arianna Bianchi , Konstantinos Syrigos , Georgios Lolas

Prediction of survivability in a patient for tumor progression is useful to estimate the effectiveness of a treatment protocol. In our work, we present a model to take into account the heterogeneous nature of a tumor to predict survival.…

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