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Antibody therapeutics and vaccines are among our last resort to end the raging COVID-19 pandemic. They, however, are prone to over 5,000 mutations on the spike (S) protein uncovered by a Mutation Tracker based on over 200,000 genome…

Biomolecules · Quantitative Biology 2021-03-10 Jiahui Chen , Kaifu Gao , Rui Wang , Guowei Wei

Discerning how a mutation affects the stability of a protein is central to the study of a wide range of diseases. Machine learning and statistical analysis techniques can inform how to allocate limited resources to the considerable time and…

Quantitative Methods · Quantitative Biology 2018-03-14 Richard Olney , Aaron Tuor , Filip Jagodzinski , Brian Hutchinson

CRISPR-based genome editing has revolutionized biotechnology, yet optimizing guide RNA (gRNA) design for efficiency and safety remains a critical challenge. Recent advances (2020--2025, updated to reflect current year if needed) demonstrate…

Quantitative Methods · Quantitative Biology 2025-08-29 Alireza Abbaszadeh , Armita Shahlai

Many researches demonstrated that the DNA methylation, which occurs in the context of a CpG, has strong correlation with diseases, including cancer. There is a strong interest in analyzing the DNA methylation data to find how to distinguish…

Genomics · Quantitative Biology 2020-01-29 Hong Yu , Zhanyu Ma

Breast cancer is one of the most major causes of death among women, after lung cancer. Breast cancer detection advancements can increase the survival rate of patients through earlier detection. Breast cancer that can be detected by using…

Image and Video Processing · Electrical Eng. & Systems 2024-09-26 Kashif Ishaq , Muhammad Mustagis

Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intra-operative diagnostics can significantly contribute to successful cancer identification and treatment. Artificial intelligence has played an…

Tissues and Organs · Quantitative Biology 2022-08-10 Marina Zajnulina

In DNA computing, it is impossible to decide whether a specific hybridization among complex DNA molecules is effective or not within acceptable time. In order to address this common problem, we introduce a new method based on the machine…

Quantitative Methods · Quantitative Biology 2018-07-03 Weijun Zhu

Modern biomedicine is challenged to predict the effects of genetic variation. Systematic functional assays of point mutants of proteins have provided valuable empirical information, but vast regions of sequence space remain unexplored.…

Biomolecules · Quantitative Biology 2017-01-18 Thomas A. Hopf , John B. Ingraham , Frank J. Poelwijk , Michael Springer , Chris Sander , Debora S. Marks

Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncontrollable fashion in the lungs. Some common treatment strategies are surgery, chemotherapy, and radiation which aren't the best options due…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Ann Rachel , Pranav M Pawar , Mithun Mukharjee , Raja M , Tojo Mathew

The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has provided unprecedented insights into the oncogenic features modulating drug response. A recent screening of ~1,000 cancer cell lines to a collection of…

Early cancer detection remains one of the most critical challenges in modern healthcare, where delayed diagnosis significantly reduces survival outcomes. Recent advancements in artificial intelligence, particularly deep learning, have…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Emmanuella Avwerosuoghene Oghenekaro

Biology has taken strong steps towards becoming a computer science aiming at reprogramming nature after the realisation that nature herself has reprogrammed organisms by harnessing the power of natural selection and the digital prescriptive…

Neural and Evolutionary Computing · Computer Science 2016-01-21 Hector Zenil , Angelika Schmidt , Jesper Tegnér

Cancer and its subtypes constitute approximately 30% of all causes of death globally and display a wide range of heterogeneity in terms of clinical and molecular responses to therapy. Molecular subtyping has enabled the use of precision…

Quantitative Methods · Quantitative Biology 2024-07-11 Anwar Khan , Boreom Lee

We report on a theoretical study of point mutations effects on charge transfer properties in the DNA sequence of the tumor-suppressor p53 gene. On the basis of effective single-strand or double-strand tight-binding models which simulate…

Genomics · Quantitative Biology 2008-01-09 Chi-Tin Shih , Stephan Roche , Rudolf A. Römer

Genetic alterations initiate tumors and enable the evolution of drug resistance. The pro-cancer view of mutations is however incomplete, and several studies show that mutational load can reduce tumor fitness. Given its negative effect,…

Genomics · Quantitative Biology 2017-05-18 Ana B. Pavel , Kirill S. Korolev

Cancer is a complex disease, the understanding and treatment of which are being aided through increases in the volume of collected data and in the scale of deployed computing power. Consequently, there is a growing need for the development…

In the last decade, researchers working in the domain of computer vision and Artificial Intelligence (AI) have beefed up their efforts to come up with the automated framework that not only detects but also identifies stage of breast cancer.…

Image and Video Processing · Electrical Eng. & Systems 2022-01-10 Shahid Munir Shah , Rizwan Ahmed Khan , Sheeraz Arif , Unaiza Sajid

Breast cancer is still the second top cause of cancer deaths worldwide and this emphasizes the importance of necessary steps for early detection. Traditional diagnostic methods, such as mammography, ultrasound, and thermography, which have…

Skin cancer is the most common human malignancy(American Cancer Society) which is primarily diagnosed visually, starting with an initial clinical screening and followed potentially by dermoscopic(related to skin) analysis, a biopsy and…

Image and Video Processing · Electrical Eng. & Systems 2022-02-03 Kartikeya Agarwal , Tismeet Singh

Studies have shown that the traces people leave when browsing the internet may indicate the onset of diseases such as cancer. Here we show that the adaptive engines of advertising systems in conjunction with clinically verified…

Computers and Society · Computer Science 2018-08-09 Elad Yom-Tov
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