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<span class="word">Machine <span class="word"><span class="changedDisabled">Learning <span class="word">in <span class="word"><span class="changedDisabled">Personalized <span class="word"><span class="changedDisabled">Medication <span class="word"><span class="changedDisabled">Regimen <span class="word"><span class="changedDisabled">Design <span class="word">for <span class="word">the <span class="word"><span class="changedDisabled">Geriatric <span class="word"><span class="changedDisabled">Population; <span class="word"><span class="changedDisabled">Integrating <span class="word">Pharmacokinetic <span class="word">and <span class="word">Pharmacodynamic <span class="word"><span class="changedDisabled">Modeling <span class="word">with <span class="word"><span class="changedDisabled">Clinical <span class="word"><span class="changedDisabled">Decision <span class="word"><span class="changedDisabled">Making

2026-04-06

Abstract excerpt

Geriatric pharmacotherapy is usually challenged by physiological senescence. For instance, progressive declines in organ function and alterations in body composition can complicate drug disposition. However, conventional pharmacometrics models commonly have limited capacity to map these high-dimensional, non-linear relationships. In this review, we are examining the recent shift toward integrating Machine Learning...

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Literature Corpus work: 45a56912-5bd3-5016-a8fc-c3b56fc75c2f
DOI: 10.20944/preprints202604.0337.v1

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<span class="word">Machine <span class="word"><span class="changedDisabled">Learning <span class="word">in <span class="word"><span class="changedDisabled">Personalized <span class="word"><span class="changedDisabled">Medication <span class="word"><span class="changedDisabled">Regimen <span class="word"><span class="changedDisabled">Design <span class="word">for <span class="word">the <span class="word"><span class="changedDisabled">Geriatric <span class="word"><span class="changedDisabled">Pop…DOI 10.20944/preprints202604.0337.v1Read

<span class="word">An <span class="word allCaps">RMST-<span class="word">Integrated <span class="word">Machine <span class="word">Learning <span class="word">Framework <span class="word">for <span class="word">Interpretable <span class="word">Survival <span class="word">Analysis <span class="word"><span class="changedDisabled">Under <span class="word">Non-<span class="word">Proportional <span class="word">Hazards: <span class="word">Application <span class="word">to <span class="word">the <span…Semantic proximity Read

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