The Life and Work of Prof. Dr. Antapur Venkoba Rao: The Enduring Legacy of an Innovative Mind.

Dr. Antapur Venkoba Rao, born on August 20, 1927, in Andhra Pradesh, was a pioneering figure in Indian psychiatry, often recognized as the "Father of Indian Psychiatry" and the "Father of Geriatric Mental Health." His exceptional academic achievements led him to specialize in psychiatry, where he made substantial contributions, particularly in the study of depressive disorders.

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges due to their complexity, dynamic nature, and low signal-to-noise ratio (SNR). Traditional EEG pattern recognition algorithms typically involve two key steps: feature extraction and feature classification, both crucial for accurate operation.

Efficacy & safety of brolucizumab 6.0 mg versus 3.6 mg in diabetic macular edema.

Background: Management of Diabetic Macular edema (DME) requires repeated injections. Therefore newer Anti-VEGFs like Brolucizumab with longer durability have been introduced. We compared two different dosages of Brolucizumab, 6.

Enhanced diabetic retinopathy detection using U-shaped network and capsule network-driven deep learning.

Glaucoma, a severe eye disease leading to irreversible vision loss if untreated, remains a significant challenge in healthcare due to the complexity of its detection. Traditional methods rely on clinical examinations of fundus images, assessing features like optic cup and disc sizes, rim thickness, and other ocular deformities. Recent advancements in artificial intelligence have introduced new opportunities for enhancing glaucoma detection.