Perovskite retinomorphic image sensor for embodied intelligent vision.

Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities.

Development of PRC1 Inhibitors Employing Fragment-Based Approach and NMR-Guided Optimization.

Polycomb Repressive Complex 1 (PRC1) is associated with transcriptional silencing, and its dysregulation plays an important role in various cancers. Well-characterized PRC1 inhibitors can facilitate the exploration of PRC1 inhibition as therapeutic agents. By employing an NMR-based fragment screening approach, we have previously identified a very weak millimolar ligand , which directly binds to RING1B-BMI1.

Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.

Background: Pterygium is a complex ocular surface disease characterized by the abnormal proliferation and growth of conjunctival and fibrovascular tissues at the corneal-scleral margin. Understanding the underlying molecular mechanisms of pterygium is crucial for developing effective diagnostic and therapeutic strategies.

Methods: To elucidate the molecular mechanisms of pterygium, we conducted a differential gene expression analysis between pterygium and normal conjunctival tissues using high-throughput RNA sequencing.