Statistical Machine Learning Models for Biomedical Science

Additional Titles: Statistical learning models have become essential instruments in the field of biomedical science, providing strong approaches to analyzing intricate information, identifying significant patterns, and aiding in predictive modeling. This study explores the various types of biomedical, ranging from clinical and pathological data to medical imaging and electronic health records, highlighting the unique challenges and opportunities associated with each domain. For example, breast cancer prediction research has seen significant development, yet a focused effort is needed to tailor frameworks to patient-specific risk factors. This study fills this gap by analyzing anthropometric data from women's routine blood analyses using multivariate statistical techniques. Based on these results, we propose the advanced statistical learning model: Multiple Directive Feature Selection and Prediction Strategy to find features for the presence of breast cancer in patients. Using a non-linear dimension reduction procedure with an ensemble Random Forest shows better accuracy (77%) compared to other models. To validate the breast cancer risk factors for a specific patient, we develop explainable AI with Shapley values. It shows different risk factors are responsible for specific patients and allows us to investigate a model's decision-making with risk factors at both the local level. In another aspect, we address challenges in network analysis, particularly in graph-based clustering, crucial for various fields such as deep learning, computer vision, and social network analysis. We introduce an innovative algorithm aimed at improving clustering performance by optimizing the choice of parameters, notably the scale parameter σ in the Gaussian kernel. Our approach enhances the scalability and robustness of clustering methods, demonstrating improved performance across diverse datasets through simulations and validation of both synthetic and real-world data. By customizing the scale parameter, ou

Authors: Trindade, Adao, Volchenkov, Dimitri, Howle, Victoria E., Allen, Linda J.S., Mostafa, G M Fahad Bin

Index Terms: Multiple Directive Feature Selection and Prediction Strategy, Explainable AI, Periodic mean-reverting SDEs, Missing Value Imputation, Modified Graph-based Clustering, Novel Graph Convolution Network, Statistical Learning for Classification, Domain of applicability in QSAR modeling, Dissertation

URL: https://hdl.handle.net/2346/100434

Integrated simulation of deep learning, computer vision and physical layer of UAV and ground vehicle networks

Authors: Aldebaro Klautau, Ilan Correa, Felipe Bastos, Ingrid Nascimento, João Borges, Ailton Oliveira, Pedro Batista, Silvia Lins

Source: Deep Learning and Its Applications for Vehicle Networks ISBN: 9781003190691

Integrated Pharmacophore, Docking, Machine Learning, and Molecular Dynamics Approach for the Discovery and Validation of LuxS Quorum-Sensing Inhibitors to Combat Antibiotic Resistance.

Authors: Nawaz M; Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan., Ahmed M; Department of Chemistry, Division of Science and Technology, University of Education, Lahore, Pakistan., Raheem K; Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, Nebraska, USA., Mughram MHA; Department of Pharmaceutical Chemistry, College of Pharmacy, King Khalid University, Abha, Saudi Arabia., Khan MJ; Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan., Alzahrani KJ; Research Center of Basic Sciences, Engineering and High Altitude, Taif University, Taif, Saudi Arabia.; Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia., Muddassar M; Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Source: ChemPlusChem [Chempluschem] 2026 Jun; Vol. 91 (6), pp. e70190.

Publication Type: Journal Article

Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101580948 Publication Model: Print Cited Medium: Internet ISSN: 2192-6506 (Electronic) Linking ISSN: 21926506 NLM ISO Abbreviation: Chempluschem Subsets: MEDLINE

MeSH Terms: Quorum Sensing*/drug effects , Carbon-Sulfur Lyases*/antagonists & inhibitors , Carbon-Sulfur Lyases*/metabolism , Bacterial Proteins*/antagonists & inhibitors , Bacterial Proteins*/metabolism , Anti-Bacterial Agents*/pharmacology , Anti-Bacterial Agents*/chemistry , Enzyme Inhibitors*/chemistry , Enzyme Inhibitors*/pharmacology , Molecular Dynamics Simulation* , Machine Learning*, Molecular Docking Simulation ; Pharmacophore ; Drug Discovery

Computer modeling to improve measurement of stroke volume with echocardiography.

Authors: Murthi SB; School of Medicine, University of Maryland, Baltimore, USA. smurthi@som.umaryland.edu., Yang S; School of Medicine, University of Maryland, Baltimore, USA., Oliveri PP; School of Medicine, University of Maryland, Baltimore, USA., Safadi S; Departments of Nephrology and Pulmonary Critical Care , University of Minnesota, Minneapolis, USA., Fatima S; School of Medicine, University of Maryland, Baltimore, USA., Teeter W; School of Medicine, University of Maryland, Baltimore, USA.

Source: Cardiovascular ultrasound [Cardiovasc Ultrasound] 2026 Jul 06; Vol. 24 (1). Date of Electronic Publication: 2026 Jul 06.

Publication Type: Journal Article; Observational Study

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101159952 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-7120 (Electronic) Linking ISSN: 14767120 NLM ISO Abbreviation: Cardiovasc Ultrasound Subsets: MEDLINE

MeSH Terms: Echocardiography*/methods , Heart Ventricles*/diagnostic imaging , Heart Ventricles*/physiopathology , Image Interpretation, Computer-Assisted*/methods , Stroke Volume*/physiology , Computer Simulation* , Machine Learning*, Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; Reproducibility of Results ; Aged

Virtual Try-On System

Authors: Anagha Kadave, Sakshi Chavan, Komal Karande, Anuja Nalawade, Vishakha Salunkhe, Rachana Shewale

Subject Terms: Virtual try-on, image inpainting, semantic segmentation, stable diffusion, ipadapter, segformer, deep learning, computer vision, e-commerce, ai fashion technology, photorealistic synthesis, personalized shopping, transformer models, clothing simulation, visual try-on pipeline

Optimizing Treatment Decision Estimation for Right-Censored Survival Data Through Parameter Transfer Learning.

Authors: Pan Y; Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China., Guo Y; Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China., Yang C; Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China., Shao Y; School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China., Yang Q; School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Source: Statistics in medicine [Stat Med] 2026 Jul; Vol. 45 (15-17), pp. e70668.

Publication Type: Journal Article

Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE

MeSH Terms: Transfer Machine Learning*, Precision Medicine/methods ; Humans ; Survival Analysis ; Computer Simulation ; Models, Statistical ; Bias ; Prediction Algorithms

Benchmarking Autonomous Driving Systems using a Modular and Scalable Simulation Environment

Authors: Szilagyi, David, Benta, Kuderna-Iulian, Sacarea, Christan

Source: 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI) ICTAI Tools with Artificial Intelligence (ICTAI), 2024 IEEE 36th International Conference on. :420-426 Oct, 2024

Relation: 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI)

An Intelligent Virtual System Relocation Based Prediction Model for Optimal Resource Control in Vehicular Cloud

Authors: Das, Sukanta, Ranjan Tripathy, Alok

Source: 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS) MLCSS Machine Learning, Computer Systems and Security (MLCSS), 2022 International Conference on. :80-85 Aug, 2022

Relation: 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS)

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Authors: Varghese R; School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Deb KS; School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Pal K; School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Jonnalagadda A; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Cherukuri AK; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Dawood M; Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, Germany., Boulos JC; Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, Germany., Efferth T; Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, Germany., Ramamoorthy S; School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Source: Phytotherapy research : PTR [Phytother Res] 2025 Sep; Vol. 39 (9), pp. 4156-4170. Date of Electronic Publication: 2025 Aug 04.

Publication Type: Journal Article

Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8904486 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1573 (Electronic) Linking ISSN: 0951418X NLM ISO Abbreviation: Phytother Res Subsets: MEDLINE

MeSH Terms: Carotenoids*/pharmacology , Carotenoids*/chemistry , Neoplasms*/drug therapy , Receptor Protein-Tyrosine Kinases*/antagonists & inhibitors , Antineoplastic Agents, Phytogenic*/pharmacology , Machine Learning*, Protein Kinase Inhibitors/pharmacology ; Molecular Docking Simulation ; Humans

Practical Simulations for Machine Learning : Using Synthetic Data for AI

Authors: Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent, Jon Manning

Resource Type: eBook.

Subjects: Artificial intelligence--Computer simulation, Machine learning--Computer simulation

Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Machine Theory

A Review on Machine Learning and Bioinformatics to Study Biofouling in Marine Renewable Energy Devices: Modeling, Performance Prediction, and Maintenance Planning.

Authors: Hasil, Shah Dad, Zahid, Zahid, Michailides, Constantine, Shi, Wei, Irshad, Feroz

Source: Journal of Marine Science & Engineering; Mar2026, Vol. 14 Issue 6, p549, 23p

Subject Terms: Machine learning, Bioinformatics, Fouling, Computer simulation, Computerized maintenance management systems, Nucleic acids, Ocean energy resources, Digital twin

Autonomous Vehicles: A Survey of Machine Learning, Computer Vision, and IoT Techniques with Cybersecurity Considerations

Authors: Dr. Shailesh Kantilal Patel

Source: International Journal for Research in Applied Science and Engineering Technology. 13:393-402

Virtual patients inspired by multiomics predict the efficacy of an anti-IFNα mAb in cutaneous lupus

Authors: Hurez, Vincent ^{1, 5, ∗}, Gauderat, Glenn ², Soret, Perrine ², Myers, Renee ¹, Dasika, Krishnakant ¹, Sheehan, Robert ¹, Friedrich, Christina ¹, Reed, Mike ¹, Laigle, Laurence ², Riquelme, Marta Alarcón ³, Aussy, Audrey ², Chadli, Loubna ², Hubert, Sandra ², Desvaux, Emiko ², Fouliard, Sylvain ², Moingeon, Philippe ^{2, 4, 6, ∗∗}

Source: In iScience 21 February 2025 28(2)

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics.

Authors: Bai D; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia., He R; Zhejiang Key Laboratory of Magnetic Materials and Applications, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China., Liu J; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia., Kou L; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.

Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Jun 18, pp. e76203. Date of Electronic Publication: 2026 Jun 18.

Publication Type: Journal Article

Journal Info: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE

Data-driven model order reduction with surrogate elements for transient simulations.

Authors: Franke, Markus, Krause, Tom Janis, Wagner, Marcus

Source: Engineering Computations; 2026, Vol. 43 Issue 7, p2655-2680, 26p

Subject Terms: Finite element method, Degrees of freedom, Mathematical optimization, Artificial neural networks, Matrices (Mathematics), Reduced-order models, Dynamic simulation

In Silico Peptide Design: Methods, Resources, and Role of AI.

Authors: Choudhury PR; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, UP, India., Mishra SK; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, UP, India., Yadav S; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, UP, India., Singh S; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, UP, India., Mathur P; Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, UP, India.

Source: Journal of peptide science : an official publication of the European Peptide Society [J Pept Sci] 2025 Dec; Vol. 31 (12), pp. e70063.

Publication Type: Journal Article; Review

Journal Info: Publisher: John Wiley & Sons Country of Publication: England NLM ID: 9506309 Publication Model: Print Cited Medium: Internet ISSN: 1099-1387 (Electronic) Linking ISSN: 10752617 NLM ISO Abbreviation: J Pept Sci Subsets: MEDLINE

MeSH Terms: Peptides*/chemistry , Peptides*/chemical synthesis , Drug Design*, Molecular Dynamics Simulation ; Machine Learning ; Deep Learning ; Humans ; Computer Simulation

Comprehensive Assessment of Orbital Robotics, Space Application Simulation/Machine Learning, and Methods of Hardware in the Loop Validation

Authors: Peterson, Marco, Du, Minzhen, Springle, Bryant, Black, Jonathan

Source: 2022 IEEE Aerospace Conference (AERO) Aerospace Conference (AERO), 2022 IEEE. :1-13 Mar, 2022

Relation: 2022 IEEE Aerospace Conference (AERO)

Direct evidence of non-acoustic collective modes in dynamics of molten Carbon.

Authors: Bryk, Taras, Ruocco, Giancarlo, Wax, Jean-François, Jakse, Noël

Source: Communications Physics; 4/1/2026, Vol. 9 Issue 1, p1-8, 8p

Subject Terms: Molecular dynamics, High temperatures, Quasiparticles, Density functionals, Liquids

Towards resilience in Industry 5.0: application of system dynamics in matrix-structured manufacturing system.

Authors: Wang, Miao, Tong, Yifei, Zhuang, Cunbo

Source: International Journal of Production Research; Jul2026, Vol. 64 Issue 13, p5290-5314, 25p

Subject Terms: System dynamics, Flexible manufacturing systems, Organizational resilience, Manufacturing processes, Industry 4.0, Business continuity planning, Simulation software

Computer Vision for Fashion: A Systematic Review of Design Generation, Simulation, and Personalized Recommendations.

Authors: Kachbal, Ilham, El Abdellaoui, Said

Source: Information; Jan2026, Vol. 17 Issue 1, p11, 49p

Subject Terms: Computer vision, Artificial intelligence, Digital computer simulation, Virtual design, Clothing industry, Recommender systems, Sustainability, Deep learning