Gunnar Cario

clinTALL is a deep learning framework that classifies pediatric T-ALL subtypes and predicts treatment outcomes using multimodal data, achieving high accuracy and concordance indices.

This study identifies how developmental maturity and fusion partner influence treatment response in KMT2A-rearranged B-ALL across all ages.

This paper evaluates a novel Fc-optimized antibody drug conjugate targeting CD7, showing potent anti-leukemia activity in preclinical T-ALL models.