Mathematical modeling and intelligent methods in systems biology and medicine applied to complex diseases: An overview

Allergen sensitization profiles and co-sensitization networks in children with allergic rhinitis and asthma: A propensity score-matched retrospective study

10.2147/jaa.s620785 · doi-reference

Deciphering the coevolutionary dynamics of l2 β-lactamases via deep learning

10.1021/acs.jcim.4c00189 · doi-reference

Identification of microbial interaction network: zero-inflated latent ising model based approach

10.1186/s13040-020-00226-7 · doi-reference

Data-driven-based approach to identifying differentially methylated regions using modified 1d ising model

10.1155/2018/1070645 · doi-reference

Bayesian compositional regression with structured priors for microbiome feature selection

10.1111/biom.13335 · doi-reference

On-line prediction of products concentrations in glutamate fermentation using metabolic network model and linear programming

10.1016/j.bej.2005.03.012 · doi-reference

Multi-neurotransmitter synergistically regulated basal ganglia reinforcement learning model

10.1016/j.neunet.2026.108941 · doi-reference

Fully automated echocardiogram interpretation in clinical practice

10.1161/circulationaha.118.034338 · doi-reference

How does the covid-19 pandemic impact on population mental health? A network analysis of covid influences on depression, anxiety and traumatic stress in the UK population

10.1017/s0033291721000635 · doi-reference

Robust and efficient semi-supervised learning for ising model

10.1093/biomtc/ujaf060 · doi-reference

Leveraging artificial intelligence in the fight against infectious diseases

10.1126/science.adh1114 · doi-reference

The cellular ising model: A framework for phase transitions in multicellular environments

10.1098/rsif.2015.1092 · doi-reference

Automatic learning of mortality in a cpn model of the systemic inflammatory response syndrome

10.1016/j.mbs.2016.11.004 · doi-reference

A note on the reverse michaelis-menten kinetics

10.1016/j.soilbio.2012.08.028 · doi-reference

Automated interpretation of congenital heart disease from multi-view echocardiograms

10.1016/j.media.2020.101942 · doi-reference

Automated interpretation of systolic and diastolic function on the echocardiogram: A multicohort study

10.1016/s2589-7500(21)00235-1 · doi-reference

Perspective: Sloppiness and emergent theories in physics, biology, and beyond

10.1063/1.4923066 · doi-reference

Toward an ising model of cancer and beyond

10.1088/1478-3975/8/1/015017 · doi-reference

High-performance medicine: the convergence of human and artificial intelligence

10.1038/s41591-018-0300-7 · doi-reference

Two-stage augmentation for detecting malignancy of bi-rads 3 lesions in early breast cancer

10.1186/s12885-025-13960-0 · doi-reference

Quantitative analysis of glioma cell invasion

10.1016/j.jns.2003.06.001 · doi-reference

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from covid-19: A national survey in China

10.1038/s41398-024-02918-8 · doi-reference

Epipredict: Agent-based modeling of infectious diseases

10.1007/s13218-023-00819-4 · doi-reference

10.1109/eit.2018.8500205

10.1109/eit.2018.8500205 · doi-reference

Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

10.1038/s41467-021-26023-2 · doi-reference

Personalized medicine: time for one-person trials

10.1038/520609a · doi-reference

Deep learning in neural networks: An overview

10.1016/j.neunet.2014.09.003 · doi-reference

Cancer niches and their kikuchi free energy

10.3390/e23050609 · doi-reference

Lsd-induced increase of ising temperature and algorithmic complexity of brain dynamics

10.1371/journal.pcbi.1010811 · doi-reference

Graphical representation and stability conditions of predator–prey interactions

10.1086/282272 · doi-reference

Modeling and simulation of genotypic tumor mutational burden and phenotypic immunogenicity biomarkers in cancer immunoediting with ising-hamiltonian characterization

10.1016/j.compbiomed.2025.109717 · doi-reference

Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model hamiltonian

10.1186/s12859-022-04731-w · doi-reference

Associations of hospitalisation - admission, readmission and length to stay - with multimorbidity patterns by age and sex in adults and older adults: the elsi-brazil study

10.1186/s12877-023-04167-8 · doi-reference

Ai in health and medicine

10.1038/s41591-021-01614-0 · doi-reference

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

10.1016/j.jcp.2018.10.045 · doi-reference

Modelling viral and immune system dynamics

10.1038/nri700 · doi-reference

Pre-metastatic niches: organ-specific homes for metastases

10.1038/nrc.2017.6 · doi-reference

Models of stochastic gene expression

10.1016/j.plrev.2005.03.003 · doi-reference

Video-based ai for beat-to-beat assessment of cardiac function

10.1038/s41586-020-2145-8 · doi-reference

Cancer immunoediting and resistance to t cell-based immunotherapy

10.1038/s41571-018-0142-8 · doi-reference