Biomarkers.

Background: Scanning laser ophthalmoscopy (SLO) visualizes two important markers of cognitive dysfunction in the retina: vascular changes and amyloid plaque (AP) deposition. The relationship between retinal arteriolar versus venular changes and perivascular amyloid deposition across the continuum of neurodegeneration is imperfectly understood. We investigate the retinal perivascular AP distribution in relationship to cognitive and neuroimaging measures in a cohort of cognitively normal and impaired individuals.

Transcriptomic and proteomic profiling identifies feline fibrosarcoma as clinically amenable model for aggressive sarcoma subtypes.

Fibrosarcomas (FSA) are malignant mesenchymal tumors characterized by low chemo- and radiosensitivity. Development of novel treatment strategies for human adult FSA is hindered by the low incidence and the absence of suitable clinical models. Interestingly, aggressive FSA occur more frequently in domestic cats, hence potentially representing a clinically amenable model to assess novel therapies such as targeted imaging or theranostics.

Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning.

Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to sub-GeV/c dark matter interactions with nuclei in current direct detection experiments. In such devices, the temperature of the thermometer and the bias current in its readout circuit need careful optimization to achieve optimal detector performance. This task is not trivial and is typically done manually by an expert.