Accelerating the Discovery of Ionizable Lipids for mRNA Delivery using Machine Learning and Combinatorial Chemistry Research Background To fully realize the potential of mRNA therapies, it is essential to expand the toolkit of lipid nanoparticles (LNPs). However, a key bottleneck in LNP development is identifying new ionizable lipids. Previous stud...
Study on Chirality Transfer in Liquid Crystal Viruses Chirality is a phenomenon commonly found in nature and holds significant influence in various fields such as biology, chemistry, physics, and materials science. However, the mechanism of chirality transfer from nanoscale building blocks to macroscopic helical structures remains an unsolved myste...
A Visualization Microdisplay for Neuronal Activity on the Brain Surface Using Electroencephalography Background Introduction Current functional mapping in neurosurgery primarily relies on verbal communication between neurosurgeons and electrophysiologists. These processes are time-consuming and have limited resolution. Additionally, the electrode g...
New Breakthrough in the Field of Cerebral Vascular Diseases: Clinical Application of Small Optical Coherence Tomography Imaging Probe Academic Background and Research Motivation In recent years, interventional treatment has become the preferred method for cerebrovascular diseases such as cerebral aneurysm, ischemic stroke, arterial dissection, and ...
High-Fidelity Fatigue-Resistant Muscle Control Through Closed-Loop Optogenetic Neural Modulation Background Introduction Skeletal muscle is the biological actuator for almost all movements in animals and humans. However, under various neurological conditions, the communication pathways between the central nervous system and neuromuscular components...
Simultaneously Recording Up to a Million Neurons’ Cortical Dynamics Reveals Unbounded Scaling of Neuronal Quantity and Dimensionality Summary This scientific report titled “Simultaneously Recording Up to a Million Neurons’ Cortical Dynamics Reveals Unbounded Scaling of Neuronal Quantity and Dimensionality,” published in the journal Neuron (Volume 1...
Minimally Invasive Imaging and Sensing Methods Based on Magnetic Particle Imaging and the Application of Implanted Electronic Circuits Academic Background In modern medicine, minimally invasive and biocompatible implantable bioelectronics are widely used for long-term monitoring of physiological processes inside the body. However, methods for imagi...
Research Report on Semi-Supervised Detection of Thyroid Nodules in Ultrasound Videos Research Background Thyroid nodules are common thyroid diseases. Early screening and diagnosis of thyroid nodules typically rely on ultrasound examinations, a common non-invasive detection method used for detecting various diseases such as thyroid nodules, breast c...
Research Background and Motivation Medical image segmentation is of great significance in the image analysis of anatomical structures and lesion areas, as well as in clinical diagnosis. However, existing fully supervised learning methods rely on a large amount of annotated data, and obtaining pixel-level annotated data for medical images is costly ...
Research on 3D/2D Vascular Registration Based on Monte Carlo Tree Search and Manifold Regularization In interventional vascular surgery, enhanced intraoperative real-time imaging technology can compensate for the shortcomings of DSA navigation, such as the lack of depth information and excessive use of toxic contrast agents, by projecting preoperat...