Lucas Rincón de la Rosa

The paper develops and validates a prognostic model using morphologic intratumoral heterogeneity from histopathology slides to predict survival in primary central nervous system lymphoma.

VelOT improves RNA velocity inference by using optimal transport and flow-field smoothing, outperforming existing methods in directionality and coherence.

h5adify harmonizes metadata from single-cell datasets using neuro-symbolic methods and local LLMs, improving integration and reducing batch effects.