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1. DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services
   2025/10/24 by X. Y. Li, Li, Xiang, Huizi Yu +37 · 1 voice · 1 citation
   Medicine · #68T07 #92C50 #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #I.2.7 #J.3
2. On a Brain Tumor Growth Model with Lactate Metabolism, Viscoelastic Effects, and Tissue Damage
   2025/02/04 by Giulia Cavalleri, Pierluigi Colli, Cavalleri, Giulia +5 · 2 citations
   Mathematics · #35B65 #35D30 #35K57 #35K61 #35Q92 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics #Mathematical Biology Tumor Growth
3. Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
   2024/12/09 by Kannan, Kamala Devi, Jagatheesaperumal, Senthil Kumar, Kandala, Rajesh N. V. P. S. +3 · 1 citation
   #62H30 #68T05 #92C50 #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #H.2.8 #H.5.2 #I.2.6 #I.2.7 #Machine Learning (cs.LG)
4. Efficient Proton Transport Modelling for Proton Beam Therapy and Biological Quantification
   2024/11/23 by Ashby, Ben S., Chronholm, Veronika, Hajnal, Daniel K. +4 · 3 citations
   #35Q92 #49N90 #92C50 #FOS: Physical sciences #Medical Physics (physics.med-ph)
5. SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agents
   2024/09/24 by Gabriele Fossi, Youssef Boulaimen, Fossi, Gabriele +13 · 1 citation
   Decision Sciences · Engineering · #68T07 #68T09 #92C50 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.7 #Innovative Microfluidic and Catalytic Techniques Innovation #J.3 #Scientific Computing and Data Management
6. Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
   2024/09/02 by Ghaffarzadeh-Esfahani, Mohammadreza, Ghaffarzadeh-Esfahani, Mahdi, Salahi-Niri, Arian +39 · 2 citations
   #68T50 #92C50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #J.3 #Machine Learning (cs.LG)
7. Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
   2023/11/28 by Ivan Ezhov, Zhang, Ray Zirui, Ezhov, Ivan +10 · 2 citations
   Mathematics · Medicine · #35Q92 #92-08 #92C50 #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Glioma Diagnosis and Treatment #I.2.6 #Image and Video Processing (eess.IV) #J.2 #J.3 #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Quantitative Methods (q-bio.QM) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
8. Optimal distributed control for a viscous non-local tumour growth model
   2023/04/18 by Fornoni, Matteo · 2 citations
   #35B65 #35K61 #35Q92 #45K05 #49K20 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics #Optimization and Control (math.OC)
9. Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
   2023/02/23 by Raluca Jalaboi, Ole Winther, Jalaboi, Raluca +3 · 1 citation
   Medicine · #68T45 #92B20 #92C50 #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
    2023/02/13 by Maul, Noah, Zinn, Katharina, Wagner, Fabian +6 · 1 citation
    #68T07 (Primary) #92C35 (Secondary) #92C50 #FOS: Computer and information sciences #I.2.1 #J.3 #Machine Learning (cs.LG)
11. The superiorization method with restarted perturbations for split minimization problems with an application to radiotherapy treatment planning
    2022/07/12 by Francisco J. Aragón Artacho, Aragón-Artacho, Francisco J., Yair Censor +5 · 1 citation
    Engineering · Mathematics · #47N10 #49M37 #65B99 #65K10 #90C25 #92C50 #92C55 #Advanced Optimization Algorithms Research #FOS: Mathematics #FOS: Physical sciences #Medical Physics (physics.med-ph) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
12. Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
    2022/06/30 by Hejie Cui, Cui, Hejie, Wei Dai +9 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #68T07 #92C50 #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Functional Brain Connectivity Studies #I.2.0 #I.2.6 #J.3 #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #and Science (cs.CE)
13. On a Cahn-Hilliard-Keller-Segel model with generalized logistic source describing tumor growth
    2022/02/22 by Rocca, Elisabetta, Schimperna, Giulio, Signori, Andrea · 2 citations
    #35D30 #35K35 #35K86 #35Q92 #92C17 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics
14. A mathematical justification for metronomic chemotherapy in oncology
    2021/10/14 by Cécilia Pola, Fernández, Luis A., Pola, Cecilia +1 · 1 citation
    Mathematics · Medicine · Pharmacology, Toxicology and Pharmaceutics · #90C30 #92C50 #93C15 #Cancer Treatment and Pharmacology #Chemical Reactions and Isotopes #FOS: Mathematics #Mathematical Biology Tumor Growth #Optimization and Control (math.OC)
15. ricu: R's Interface to Intensive Care Data
    2021/08/02 by Bennett, Nicolas, Plečko, Drago, Ukor, Ida-Fong +2 · 1 citation
    #92C50 #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #J.3 #Other Quantitative Biology (q-bio.OT)
16. What should patients do if they miss a dose of medication? A theoretical approach
    2021/02/09 by Elijah D Counterman, Counterman, Elijah D, Sean D. Lawley +1 · 1 citation
    Mathematics · Medicine · #34F05 #60J05 #92C50 #FOS: Biological sciences #FOS: Mathematics #Medication Adherence and Compliance #Pharmaceutical studies and practices #Probability (math.PR) #Quantitative Methods (q-bio.QM) #Statistical Methods in Clinical Trials
17. Optimal control of cytotoxic and antiangiogenic therapies on prostate\n cancer growth
    2020/07/09 by Pierluigi Colli, Colli, Pierluigi, Héctor Gómez +9 · 4 citations
    Mathematics · Medicine · #35K51 #35K58 #35Q92 #35Q93 #49J20 #49K20 #65M60 #92C50 #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Finance #Mathematical Biology Tumor Growth #Optimization and Control (math.OC) #Prostate Cancer Treatment and Research #Renal cell carcinoma treatment #Tissues and Organs (q-bio.TO) #and Science (cs.CE)
18. Within host dynamics of SARS-CoV-2 in humans: Modeling immune responses and antiviral treatments
    2020/06/03 by Ghosh, Indrajit · 1 citation
    #92B05 #92C50 #Cell Behavior (q-bio.CB) #FOS: Biological sciences #Populations and Evolution (q-bio.PE)
19. BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
    2020/06/01 by María de la Iglesia-Vayá, Vayá, Maria de la Iglesia, Jose Manuel Saborit +23 · 3 citations
    Medicine · #68T50 #92B10 #92B20 #92C50 #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
20. Strong well-posedness and inverse identification problem of a non-local phase field tumor model with degenerate mobilities
    2020/04/09 by Frigeri, S., Lam, K. F., Signori, A. · 3 citations
    #35K61 #35K86 #35Q92 #49J20 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics
21. Weak and stationary solutions to a Cahn-Hilliard-Brinkman model with singular potentials and source terms
    2019/09/05 by Ebenbeck, Matthias, Lam, Kei Fong · 2 citations
    #35D30 #35J61 #35K35 #35Q92 #76D07 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics
22. Mathematical analysis and simulation study of a phase-field model of\n prostate cancer growth with chemotherapy and antiangiogenic therapy effects
    2019/07/26 by Pierluigi Colli, Colli, Pierluigi, Héctor Gómez +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Mathematics · #35K51 #35K58 #35Q92 #65M60 #92C50 #Analysis of PDEs (math.AP) #Computational Engineering #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Mathematics #Finance #Mathematical Biology Tumor Growth #Solidification and crystal growth phenomena #Tissues and Organs (q-bio.TO) #and Science (cs.CE)
23. A distributed control problem for a fractional tumor growth model
    2019/07/24 by Colli, Pierluigi, Gilardi, Gianni, Sprekels, Jürgen · 1 citation
    #35K55 #35Q92 #49J20 #92C50 #FOS: Biological sciences #FOS: Mathematics #Optimization and Control (math.OC) #Tissues and Organs (q-bio.TO)
24. Zeffiro user interface for electromagnetic brain imaging: a GPU accelerated FEM tool for forward and inverse computations in Matlab
    2018/11/19 by He, Qin, Rezaei, Atena, Pursiainen, Sampsa · 1 citation
    #34A55 #34M50 #65L60 #65N30 #92C50 #Analysis of PDEs (math.AP) #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #G.1.8 #Mathematical Software (cs.MS) #and Science (cs.CE)
25. On a Cahn-Hilliard-Brinkman model for tumour growth and its singular limits
    2018/11/16 by Matthias Ebenbeck, Ebenbeck, Matthias, Harald Garcke +1 · 1 citation
    Computer Science · Mathematics · #35D30 #35K35 #35Q92 #76D07 #92C50 #Advanced Mathematical Modeling in Engineering #Analysis of PDEs (math.AP) #FOS: Mathematics #Mathematical Biology Tumor Growth #Nonlinear Partial Differential Equations
26. Analysis of a Cahn-Hilliard-Brinkman model for tumour growth with\n chemotaxis
    2018/07/02 by Matthias Ebenbeck, Harald Garcke, Ebenbeck, Matthias +1 · 6 citations
    Computer Science · Materials Science · #35D30 #35K35 #35Q92 #76D07 #92C50 #Advanced Mathematical Modeling in Engineering #Analysis of PDEs (math.AP) #FOS: Mathematics #Solidification and crystal growth phenomena
27. A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications
    2017/02/17 by Bogdańska, Magdalena U., Bodnar, Marek, Belmonte-Beitia, Juan +4 · 1 citation
    #34B37 #92C45 #92C50 #FOS: Biological sciences #Quantitative Methods (q-bio.QM)
28. Derivation of a Hele-Shaw type system from a cell model with active motion
    2014/01/13 by Perthame, Benoît, Quirós, Fernando, Tang, Min +1 · 2 citations
    #35B25 #35K55 #76D27 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics
29. Optimal radiotherapy treatment planning using minimum entropy models
    2011/05/26 by Barnard, Richard, Frank, Martin, Herty, Michael · 1 citation
    #35Q20 #49K20 #92C50 #Analysis of PDEs (math.AP) #FOS: Mathematics #FOS: Physical sciences #Medical Physics (physics.med-ph) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)