Application of AI-Enhanced Ultra-Fast PSMA-PET in Prostate Cancer Staging Academic Background Prostate cancer is one of the most common cancers among men globally, and accurate diagnosis and staging are crucial for treatment decision-making. Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) has become a standard examinati...
Neural Network-Powered Microsurgical System: Advancing Precision in Cataract Surgery Academic Context and Research Problem Cataracts are the leading cause of blindness worldwide. Phacoemulsification combined with intraocular lens (IOL) implantation has emerged as the primary treatment method. This approach not only significantly improves patients’ ...
A New Method for Estimating Heart Rate and Respiratory Rate from Videos Background and Research Motivation Heart rate (HR) and respiratory rate (RR) are critical physiological parameters reflecting cardiorespiratory functions. These metrics are widely used in medical, health monitoring, and psychological and behavioral studies. Traditionally, these...
Decoding the Future of Biomedical Image Analysis: A Foundational Model for Multi-Modal Joint Segmentation, Detection, and Recognition Background In biomedical research, image analysis has become a crucial tool for advancing discoveries, enabling multi-scale studies ranging from organelles to organs. However, traditional biomedical image analysis of...
Extreme Compression and Reconstruction of Protein Sequence Space: A Breakthrough Study on EvoAI Background Protein design and optimization have become central challenges in fields like biotechnology, medicine, and synthetic biology. The functions of proteins are determined by their sequences and structures, but this functional sequence space is hig...
Exploration of Gene Set Function Discovery Using Large Language Models: GPT-4 Excels Academic Background In functional genomics, gene set enrichment analysis is a critical methodology for understanding gene functions and their associated biological processes. However, existing enrichment analyses rely heavily on curated gene function databases, suc...
Overcoming the Preferred-Orientation Problem in Single-Particle Cryo-EM: An Innovative Solution through Deep Learning Background Introduction In recent years, single-particle cryogenic electron microscopy (Single-Particle Cryo-EM) has become a core technique in structural biology due to its ability to resolve the atomic-resolution structures of bio...
Multiscale Footprints Reveal the Role of Cis-Regulatory Elements in Cell Differentiation and Aging Background Introduction The regulation of gene expression is a key mechanism in cell fate determination and disease development, and cis-regulatory elements (CREs) play a crucial role in this process. CREs dynamically regulate gene expression by bindi...
Artificial Intelligence and Terrestrial LiDAR Point Clouds in Forest Monitoring: Academic Report Academic Background With the increasing importance of global climate change and forest resource management, precision forestry has become a key direction in modern forest management. Precision forestry relies on high-precision forest data collection and...
Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...