Abstract: A computer-implemented method (1) of detecting cognitive impairment comprising: receiving audio data (21) representing recorded utterances of a patient; processing the audio data using a speech-to-text engine (30) to produce a text transcription (301) of the recorded utterances; processing the text transcription to calculate (41) a plurality of test variables (411) associated with a neuropsychological test; calculating, by applying a trained detection model (51) on the plurality of test variables, an impairment probability (511) indicating a likelihood that the patient suffers from the cognitive impairment; and indicating that the patient suffers from the cognitive impairment if a final impairment probability based on the impairment probability is above a predetermined threshold, and indicating that the patient does not suffer from the cognitive impairment if the final impairment probability is below the predetermined threshold.

Abstract: The invention provided methods in vitro for diagnosis and/or prognosis of a clinical outcome in a subject with a telomere-associated disease comprising determining specific telomere associated variables (TAVs) of a test sample cell from the subject, wherein the value of the TAVs obtained for the test sample compared to a control sample is indicative of the telomerase-associated disease and/or the clinical outcome of the subject.

Abstract: The present invention relates to compounds of general formula (I) wherein R1-R8 take various meanings, pharmaceutical compositions containing them and their use in medicine, particularly for the treatment and/or prophylaxis of cancer.

Abstract: The present invention relates to compounds of general formula (I) wherein R1-R8 take various meanings, pharmaceutical compositions containing them and their use in medicine, particularly for the treatment and/or prophylaxis of cancer.