Natural language processing-based classification of early Alzheimer's disease from connected speech.

Introduction: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific for the detection of AD.

Methods: We applied a language model to automatically transcribed connected speech from 114 Flemish-speaking individuals to first distinguish early AD patients from amyloid negative cognitively unimpaired (CU) and then amyloid negative from amyloid positive CU individuals using five different types of connected speech.

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe.

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.

Rh(III)-Catalyzed Double C-H Activation toward Peptide-Benzazepine Conjugates.

We herein report the efficient synthesis of peptide-benzazepine conjugates from Lys-based peptides and acroleins via Rh(III)-catalyzed double C-H activation. This reaction features mild reaction conditions, broad scope, high atom and step economies, and excellent chemo- and site selectivity. The synthetic utility of this strategy is further demonstrated by scale-up experiments and product derivatizations, including diverse late-stage ligations based on the aldehyde moiety.