7 results for “entropy and cancer”

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Research ArticleOpen accessIn the keywordsEntropyomics as the Blueprint of the Logic of Normal Cell Division and MalignancyKambiz AfrasiabiProblem statement: In this article I propose a blueprint based on one of the most fundamental laws governing the known universe, namely the second law of thermodynamics and I present support for its central role in initiation of mitosis and relationship of the other sub cellular compartments and their organization. Approach: Life is considered to be the most sophisticated antientropy … …OnLine Journal of Biological Sciences, Vol. 11, Issue 1 · 6 Jul 2011 · 10,377 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsFREE ENERGY MEASUREMENT DISTINGUISHES NORMAL FROM CANCER CELL, OFFERING A NEW PERSPECTIVE FOR CURING CANCERKambiz Afrasiabi, Jonathan Melekh-ShalomThe interplay of the second law of thermodynamics with the normal state and the methodology needed for the measurement of free energy of normal and malignant cells and its practical implications has not been clearly addressed in current literature. The second law of thermodynamics is one of the most fundamental laws governing the known universe at all levels. A normal … …OnLine Journal of Biological Sciences, Vol. 13, Issue 4 · 12 Oct 2013 · 7,224 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDF Cite

Research ArticleOpen accessIn the abstractInfluence of Process Conditions on Measles Virus StabilityK. Weiss, D. Salzig, J. Gerstenberger et al.Recombinant measles viruses are currently tested in clinical trials as oncolytic agent to be applied in cancer therapy. Contrary to their use as vaccine where 103 infectious virus particles per dose are needed, for cancer therapy 109 virus particles should be provided per dose. This leads to other challenges for the production process when compared to vaccine production. This study … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 3 · 21 Sep 2013 · 9,949 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGAUSSIAN MIXTURE MODEL BASED CLASSIFICATION OF MICROCALCIFICATION IN MAMMOGRAMS USING DYADIC WAVELET TRANSFORMSuman Mishra, Hariharan RanganathanBreast cancer is a serious health related issue for women in the world. Cancer detected at premature stages has a higher probability of being cured, whereas at advanced stages chances of survival are bleak. Screening programs aid in detecting potential breast cancer at early stages of the disease. Among the various screening programs, mammography is the proven standard for screening … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,867 accessesView PDF Cite

Research ArticleOpen accessIn the abstractZero Geometry, Zero Space Time, The Seeds of The Final TheoryKambiz-AfrasiabiProblem statement: Lack of understanding And scientific formulation of zero geometry and zero space-time and the truth about initiation conditions would continue to keep us all in dark and we would continue to create more theories defining our observations about the known universe which could Indeed be part of our illusionary perception of reality And as long as they continue … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 10 Oct 2011 · 7,846 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 651 accessesView PDF Cite