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Colorectal cancer frequently metastasizes to the liver, significantly reducing long-term survival. While surgical resection is the only potentially curative treatment for colorectal liver metastasis (CRLM), patient outcomes vary widely…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Muhammad Alberb , Helen Cheung , Anne Martel

Lung cancer remains one of the leading causes of cancer-related mortality, yet most survival models rely only on baseline factors and overlook posttreatment variables that reflect disease progression. To address this gap, we applied Cox…

Applications · Statistics 2025-10-03 Varun Vishwanathan Nair , Victor Miranda Soberanis

Background: Transrectal ultrasound guided systematic biopsies of the prostate is a routine procedure to establish a prostate cancer diagnosis. However, the 10-12 prostate core biopsies only sample a relatively small volume of the prostate,…

Image and Video Processing · Electrical Eng. & Systems 2022-04-20 Bojing Liu , Yinxi Wang , Philippe Weitz , Johan Lindberg , Johan Hartman , Lars Egevad , Henrik Grönberg , Martin Eklund , Mattias Rantalainen

Multimodal deep learning (MDL) has emerged as a transformative approach in computational pathology. By integrating complementary information from multiple data sources, MDL models have demonstrated superior predictive performance across…

Quantitative Methods · Quantitative Biology 2025-11-17 Seth Alain Chang , Muhammad Mueez Amjad , Noorul Wahab , Ethar Alzaid , Nasir Rajpoot , Adam Shephard

The recent increase in morbidity is primarily due to chronic diseases including Diabetes, Heart disease, Lung cancer, and brain tumours. The results for patients can be improved, and the financial burden on the healthcare system can be…

Machine Learning · Computer Science 2025-02-18 Sri Varsha Mulakala , G. Neeharika , P. Vinay Kumar , A. Bhargava Kiran

Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the anisotropic resolution of MR data. Furthermore, providing an…

Image and Video Processing · Electrical Eng. & Systems 2024-07-02 Alex Ling Yu Hung , Haoxin Zheng , Kai Zhao , Kaifeng Pang , Demetri Terzopoulos , Kyunghyun Sung

Prostate cancer is one of the most common cancers in men. It is characterized by a slow growth and it can be diagnosed in an early stage by observing the Prostate Specific Antigen (PSA). However, a relapse after the primary therapy could…

Tissues and Organs · Quantitative Biology 2016-06-29 Emma Perracchione , Ilaria Stura

Deep neural networks are starting to show their worth in critical applications such as assisted cancer diagnosis. However, for their outputs to get accepted in practice, the results they provide should be explainable in a way easily…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Martin Krebs , Jan Obdržálek , Vít Musil , Tomáš Brázdil

Cancer poses danger because of its unregulated growth, development of resistant subclones, and metastatic spread to vital organs. Although the major transitions in cancer development are increasingly well understood, we lack quantitative…

Populations and Evolution · Quantitative Biology 2014-08-27 Andrei R. Akhmetzhanov , Michael E. Hochberg

Clinical management of cancer has continuously evolved for several decades. Biochemical, molecular and genomics approaches have brought and still bring numerous insights into cancerous diseases. It is now accepted that some phenomena,…

Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clinicians need evidence on how medication exposures influence downstream risk. We constructed a fixed-window EHR cohort (90-day observation,…

Machine Learning · Computer Science 2026-04-28 Kalyani P. Pande , Evan Yang , Bryan Zhu , Sandeep K. Mallipattu , Alisa Yurovsky , Tengfei Ma

Purpose. Patients with advanced cancer may undergo multiple lines of treatment, switching therapies as their disease progresses. Motivated by a study of metastatic prostate cancer, we develop a microsimulation framework to study therapy…

Artificial intelligence systems show promise to aid in the di- agnostic pathway of prostate cancer (PC), by supporting radiologists in interpreting magnetic resonance images (MRI) of the prostate. Most MRI-based systems are designed to…

Image and Video Processing · Electrical Eng. & Systems 2025-02-18 Erlend Sortland Rolfsnes , Philip Thangngat , Trygve Eftestøl , Tobias Nordström , Fredrik Jäderling , Martin Eklund , Alvaro Fernandez-Quilez

Chronic kidney disease (CKD) is a significant public health challenge, often progressing to end-stage renal disease (ESRD) if not detected and managed early. Early intervention, warranted by silent disease progression, can significantly…

Machine Learning · Computer Science 2024-11-19 Zachary Dana , Ahmed Ammar Naseer , Botros Toro , Sumanth Swaminathan

The concept of personalised medicine in cancer therapy is becoming increasingly important. There already exist drugs administered specifically for patients with tumours presenting well-defined mutations. However, the field is still in its…

Biomolecules · Quantitative Biology 2024-08-26 Abbi Abdel-Rehim , Oghenejokpeme Orhobor , Gareth Griffiths , Larisa Soldatova , Ross D. King

Metastasis is a leading cause of cancer-related mortality and remains challenging to detect during early stages. Accurate identification of cancers likely to metastasize can improve treatment strategies and patient outcomes. This study…

Genomics · Quantitative Biology 2024-12-03 Benjamin Osafo Agyare , Alec Chu , Blessing Oloyede

In this study, we develop consistent estimators for key parameters that govern the dynamics of tumor cell populations when subjected to pharmacological treatments. While these treatments often lead to an initial reduction in the abundance…

Applications · Statistics 2024-03-21 Kevin Leder , Ruping Sun , Zicheng Wang , Xuanming Zhang

Lung cancer is the leading cause of cancer death worldwide, with lung adenocarcinoma being the most prevalent form of lung cancer. EGFR positive lung adenocarcinomas have been shown to have high response rates to TKI therapy, underlying the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Gabriele Campanella , David Ho , Ida Häggström , Anton S Becker , Jason Chang , Chad Vanderbilt , Thomas J Fuchs

Until the beginning of 2021, lung cancer is known to be the most common cancer in the world. The disease is common due to factors such as occupational exposure, smoking and environmental pollution. The early diagnosis and treatment of the…

Machine Learning · Computer Science 2021-05-21 Asim Leblebici , Omer Gesoglu , Yasemin Basbinar

The prediction of cancer prognosis and metastatic potential immediately after the initial diagnoses is a major challenge in current clinical research. The relevance of such a signature is clear, as it will free many patients from the agony…

Applications · Statistics 2017-10-17 Royi Jacobovic