CDK2 Activity Interference on ERK and p38 KTR Signals and Computational Correction Methods Recently, a paper published in Cell Systems by authors Timothy E. Hoffman, Chengzhe Tian, Varuna Nangia, and others revealed the interference of cyclin-dependent kinase 2 (CDK2) on the kinase translocation reporter (KTR) signals in the extracellular signal-re...
Modular Brain-Machine Interface: Innovative Breakthrough in Neurorecording, Neurostimulation, and Drug Delivery Academic Background Brain-Machine Interfaces (BMIs) are crucial tools in neuroscience and clinical medicine, enabling interactions between the brain and the external world through charge, matter, and information exchange. They are widely ...
Research on an Ultra-Low Power Carbon Dioxide Sensor for Real-Time Breath Monitoring Academic Background Carbon dioxide (CO₂) is a critical gas produced during human respiration, and its real-time monitoring is essential for diagnosing and treating respiratory diseases (e.g., asthma, dyspnea, sleep apnea) as well as metabolic disorders. Traditional...
Minimally Invasive Repair of Bone Implant-Cement Interfaces Using Aerogel Cement and Remote Heating Background Globally, lower limb fractures are the most common type of bone fracture, particularly among the elderly and patients with osteoporosis. In orthopedic surgery, bone cement is widely used to secure implants for the treatment of long bone fr...
Deep Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring Academic Background Electronic skin (e-skin) is a technology capable of sensing physiological and environmental stimuli, mimicking human skin functions. In recent years, the potential applications of e-skin in fields such as robotics, sports science, and healthcare monitori...
Research on Multi-material Biomimetic Electronics Based on Investment Micro-casting 3D Printing Academic Background With the rapid development of biomimetic electronics, electronic skin (E-skin) and flexible sensors that mimic human perceptual functions have shown broad application prospects in robotics, medical devices, and human-computer interact...
Multimodal Learning Reveals Genotype–Phenotype Dynamics Background The complex relationship between genotype and phenotype has long been a central question in biology. Genotype refers to the genetic information of an organism, while phenotype is the manifestation of this genetic information in a specific environment. Although Wilhelm Johannsen intr...
Predicting and Monitoring the Toxicity of Immune Checkpoint Inhibitors: Breakthrough Application of the DysPred Deep Learning Framework Academic Background Immune checkpoint inhibitors (ICIs) represent a major breakthrough in cancer immunotherapy in recent years, enhancing the body’s antitumor immune response by inhibiting immune checkpoint signali...
Mapping the Gene Space at Single-Cell Resolution: A Study on Gene Signal Pattern Analysis (GSPA) Academic Background Single-cell RNA sequencing (scRNA-seq) technology has made significant progress in biological research in recent years, particularly in revealing the organizational structure of the cellular state space. However, although many comput...
Research on Spatial Modeling Algorithms for Cellular Signaling Reactions and Transport Background Biological cells achieve their functions through complex biochemical reaction networks. These networks exhibit significant spatiotemporal dynamics, with pronounced spatial compartmentalization across different regions and subcellular structures. Howeve...