Chronicle is introduced, an explainable transformer that learns from entire patient trajectories, predicts diverse clinical outcomes throughout the disease course while capturing both short- and long-term temporal dependencies, providing a scalable framework to support individualized treatment decisions.
P. Keyl, N. Kiermeyer, J. Bosserhoff et al.· medRxiv· 0 citations
CD19 CAR T cells showed acceptable short-term tolerability in patients with treatment-refractory RA, justifying further evaluation, and the primary endpoint was met, allowing advancement to phase 2.
F. Albach, Marie C. Rehm, M. Hütter-Krönke et al.· Nature Medicine· 0 citations
The overall immunogenicity and prognostic relevance of immune markers in dMMR/MSI-H CRC depend on tumor stage, and immune profiling could be used for early-stage patient stratification and also suggests the potential benefit of early immunotherapeutic intervention.
Sabina Niyazova, C. Sers, H. Bläker et al.· Oncoimmunology· 0 citations
LUCAID is an agentic AI system for precision lung cancer pathology that combines diagnostic reasoning with nine modules that cover the full routine workflow, from quality control, tumor detection and segmentation, histological subtyping, tumor microenvironment profiling, tumor cellularity quantification, and predictive biomarker scoring to automated structured report generation.
M. Eich, K. Standvoss, Timo Milbich et al.· 0 citations
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