Generative deep learning approach to predict posttreatment optical coherence tomography images of age-related macular degeneration after 12 months.

Purpose: Predicting long-term anatomical responses in neovascular age-related macular degeneration (nAMD) patients is critical for patient-specific management. This study validates a generative deep learning (DL) model to predict 12-month posttreatment optical coherence tomography (OCT) images and evaluates the impact of incorporating clinical data on predictive performance.

Methods: A total of 533 eyes from 513 treatment-naïve nAMD patients were analyzed.

Genome sequence of WestPM, a phage infecting isolated from beach environmental samples.

Bacteriophage WestPM is a siphoviral-like phage infecting isolated from environmental samples collected on Pensacola Beach, FL. The genome of this phage is 39,693 bp long and contains 59 predicted protein-coding genes and zero tRNA genes. Based on gene content similarity, WestPM is grouped in the actinobacteriophage EA11 subcluster.

Composition of soil fungal communities and microbial activity along an elevational gradient in Mt. Jiri, Republic of Korea.

Approximately 64% of the Republic of Korea comprises mountainous areas, which as cold and high-altitude regions are gravely affected by climate change. Within the mountainous and the alpine-subalpine ecosystems, microbial communities play a pivotal role in biogeochemical cycling and partly regulate climate change through such cycles. We investigated the composition and function of microbial communities, with a focus on fungal communities, in Republic of Korea's second tallest mountain, Mt.

Machine learning classification and biochemical characteristics in the real-time diagnosis of gastric adenocarcinoma using Raman spectroscopy.

This study aimed to identify biomolecular differences between benign gastric tissues (gastritis/intestinal metaplasia) and gastric adenocarcinoma and to evaluate the diagnostic power of Raman spectroscopy-based machine learning in gastric adenocarcinoma. Raman spectroscopy-based machine learning was applied in real-time during endoscopy in 19 patients (aged 51-85 years) with high-risk for gastric adenocarcinoma. Raman spectra were captured from suspicious lesions and adjacent normal mucosa, which were biopsied for matched histopathologic diagnosis.

The first engkabang jantong () genome survey data.

The engkabang jantong () is one of the most indispensable tree species for reforestation due to its high survival rate and rapid growth rate. Due to relatively low genetic interest of this tree species, its genomic landscape has since faced scarcity, impeding our further elucidation on genes that are involved in expressing its aforementioned superior properties. In this study, we performed genome survey and microsatellite analysis of engkabang jantong.