Uri Alon

The paper develops a mathematical model and formula (HOMA-C) to quantify beta cell carrying capacity in prediabetes, showing significant variation and its association with diabetes risk.

The paper introduces a saturating removal model to explain end-of-life dynamics across species, showing it accurately captures morbidity patterns and predicts key phenomena in flies, mice, and humans.

The paper shows that stochastic threshold models can explain both early-life and late-life mortality dynamics by incorporating neonatal vulnerability, using U.S. health data.

The paper explains cancer resistance to therapy through tissue-level homeostatic feedback, showing that malignant cells retain tissue-specific signaling patterns from healthy tissues.

The paper applies Pareto optimality to single-cell RNA sequencing data to identify cellular archetypes and their functions, finding that this principle explains transcriptomic variation across cell types.

The paper analyzes lab test dynamics during pregnancy and nonpregnancy to show age-related changes resembling both rejuvenation and aging in different physiological systems.

OSDR estimates dynamic cell population changes from a single tissue sample using spatial proteomics, revealing tumor microenvironment dynamics and predicting treatment responses in breast cancer.

The paper uses a mechanistic model of aging to show that maximal human lifespan is primarily determined by damage production and clearance rates, with lifestyle factors only modestly affecting it.

This study develops a bacterial biosensor for DNT detection using computational models to guide design, achieving improved sensitivity and specificity.

The paper identifies a subset of senescent cells marked by surface ATP6V1B2 that exhibit increased resistance to apoptosis and are associated with DNA repair.

This study quantifies senescence burden at the single-cell level across tissues in mice and human PBMCs, revealing tissue-specific ageing dynamics and senescence marker heterogeneity.

OSDR2.0 infers cell-state transitions and population dynamics from spatial biopsies, improving treatment response prediction in TNBC.

The paper identifies a cold fibrotic network in LUSC TME driven by CAFs and shows its conservation in other CIACs, suggesting therapeutic targets.

The paper identifies a fibroblast state called STIF that drives YAP-dependent regenerative programs and (pre)malignancy through mechanotransduction in response to tissue injury.

The paper presents a theory predicting which longevity interventions compress relative sickspan by steepening the survival curve, supported by evidence from mice, C. elegans, and Drosophila.

The paper models a macrophage-myofibroblast circuit to predict fibrosis types and shows targeting the myofibroblast autocrine loop reduces fibrosis after myocardial infarction.

This study measures longitudinal cortisol levels in bipolar disorder using hair samples and links cortisol dynamics to mood episodes through mathematical modeling.

The paper measures antibiotic-mediated bacterial death and finds death rate is linear with growth rate but varies with environmental stress.

This study identifies a cell-circuit framework for wound healing and fibrosis, revealing three fibrosis outcomes and parameters that control the transition from healing to fibrosis.

The paper combines theory and experiments in mice to show that senescent cells have a rapid turnover that saturates with age, leading to persistent differences in cell accumulation and explaining demographic mortality laws.

The paper investigates how evolutionary tradeoffs between multiple tasks shape the genetic polymorphism structure in populations, finding that prevalent polymorphisms align with the Pareto front of phenotypic tradeoffs.

The paper uses dynamic proteomics to study HSV1 infection in individual cells, finding preexisting cell-state differences influence infection outcomes.

The paper clarifies the relationship between dynamical compensation and parameter identifiability by defining DC in terms of parameter identifiability across different system states and measurements.