Deep learning to infer visual acuity from optical coherence tomography in diabetic macular edema.

Purpose: Diabetic macular edema (DME) is one of the leading causes of visual impairment in diabetic retinopathy (DR). Physicians rely on optical coherence tomography (OCT) and baseline visual acuity (VA) to tailor therapeutic regimen. However, best-corrected visual acuity (BCVA) from chart-based examinations may not wholly reflect DME status.

Automatic Segmentation of Retinal Fluid and Photoreceptor Layer from Optical Coherence Tomography Images of Diabetic Macular Edema Patients Using Deep Learning and Associations with Visual Acuity.

Diabetic macular edema (DME) is a highly common cause of vision loss in patients with diabetes. Optical coherence tomography (OCT) is crucial in classifying DME and tracking the results of DME treatment. The presence of intraretinal cystoid fluid (IRC) and subretinal fluid (SRF) and the disruption of the ellipsoid zone (EZ), which is part of the photoreceptor layer, are three crucial factors affecting the best corrected visual acuity (BCVA).

DNA polymerase theta repression enhances the docetaxel responsiveness in metastatic castration-resistant prostate cancer.

Objective: Docetaxel remains a main treatment for metastatic castration-resistant prostate cancer (mCRPC); however, the development of docetaxel resistance has been found in some mCRPC patients. The aim of this work is to identify an effective biomarker for predicting therapeutic effectiveness of docetaxel in mCRPC patients.

Methods: We examined DNA polymerase theta (POLQ) expression in The Cancer Genome Atlas (TCGA) database and Tissue microarray.

The presence of Borrelia valaisiana-related genospecies in ticks and a rodent in Taiwan.

A field survey was conducted to investigate the presence of Borrelia burgdorferi sensu lato (s.l.) in six counties of Taiwan.