Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients.

A Correction to this paper has been published: https://doi.org/10.1038/s41746-020-00365-5.

Deep learning algorithm predicts diabetic retinopathy progression in individual patients.

The global burden of diabetic retinopathy (DR) continues to worsen and DR remains a leading cause of vision loss worldwide. Here, we describe an algorithm to predict DR progression by means of deep learning (DL), using as input color fundus photographs (CFPs) acquired at a single visit from a patient with DR. The proposed DL models were designed to predict future DR progression, defined as 2-step worsening on the Early Treatment Diabetic Retinopathy Diabetic Retinopathy Severity Scale, and were trained against DR severity scores assessed after 6, 12, and 24 months from the baseline visit by masked, well-trained, human reading center graders.

Disrupting the ventral premotor cortex interferes with the contribution of action observation to use-dependent plasticity.

Action observation (AO), observing another individual perform an action, has been implicated in several higher cognitive processes including forming basic motor memories. Previous work has shown that physical practice (PP) results in cortical motor representational changes, referred to as use-dependent plasticity (UDP), and that AO combined with PP potentiates UDP in both healthy adults and stroke patients. In humans, AO results in activation of the ventral premotor cortex (PMv), however, whether this PMv activation has a functional contribution to UDP is not known.

The cost-effectiveness of a child nutrition education programme in Peru.

This article reports impact and cost results from a health facility-based nutrition education programme targeting children less than 2 years of age in Trujillo, Peru. Key elements of the programme included participative complementary feeding demonstrations, growth monitoring sessions and an accreditation process. Data were collected from six intervention and six control health facilities to measure utilization and costs associated with the intervention.