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Author

M. Haque

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Review Sep 2026

A cellular Digital Twin framework for predictive and mechanistic modeling of drug responses in precision medicine.

Biomedical Digital Twins (DTs) are emerging as a significant concept in precision health and drug discovery, enabling dynamic, high-resolution representations of patients through the real-time integration of multimodal datasets. While most studies focus on organ or patient-level models, accurate prediction of drug resp...

Danishuddin, M. Haque, G. Madhukar et al. · 0 citations
Open access Aug 2026

Multiclass Machine Learning-Based Discovery of Novel Scaffold Inhibitors Targeting ALK

This integrated ML-to-simulation workflow prioritizes structurally novel candidate hits with predicted ALK inhibitory activity and provides an effective strategy for scaffold discovery and hit prioritization.

M. Haque, Q. M. Jamal, K. Ahmad et al. · 0 citations

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