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Author

Rajneesh Anand

2 papers indexed here

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Open access Sep 2026

Hierarchical temporal transformer for cancer grade prediction and cross-cancer transfer learning from pathology reports

Language models for cancer clinical reports carry two blind spots. They read each report in isolation, ignoring how a patient’s disease changes across visits, and they are evaluated only on cancer types present in their training data. We present the Hierarchical Temporal Transformer (HTT), a two-level architecture that...

Nura Brimo, Rajneesh Anand, Hassan Harb et al. · 0 citations
#machine learning Preprint Sep 2026

Autonomous Droplet Navigation via Model-Based Reinforcement Learning

Precise manipulation of liquid droplets underpins lab-on-a-chip platforms for diagnostics, chemical synthesis, and biological assays. Yet autonomous droplet transport through confined geometries of varying complexity remains an open challenge. Droplets exhibit contact-angle hysteresis, deformability, and capillary pinn...

Rajneesh Anand, M. Kothare · 0 citations

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