Biosensors and Biomarkers for the Detection of Motion Sickness

Exploring Biomarkers and Biosensors for Motion Sickness: Innovative Approaches to Diagnostic Challenges Motion sickness (MS) is a common syndrome experienced by humans, triggered by unnatural motions such as those encountered during transportation or virtual reality (VR). It manifests through symptoms like headaches, nausea, vomiting, cold sweats, ...

Enhanced Antigen Capture via Cholinephosphate-Mediated Cell Membrane Interactions to Improve In Situ Tumor Vaccines

Enhanced Antigen Capture via Cholinephosphate-Mediated Cell Membrane Interactions to Improve In Situ Tumor Vaccines

Choline Phosphate-Based Antigen Capture Strategy Boosts In Situ Tumor Vaccine Research: A Novel Immunotherapy Approach In the field of cancer immunotherapy, in situ tumor vaccines have garnered significant attention for their ability to harness a patient’s immune system to target tumors. However, challenges remain in their clinical application. To ...

Bioprinting Perfusable and Vascularized Skeletal Muscle Flaps for the Treatment of Volumetric Muscle Loss

Academic Report on “Bioprinting Perfusable and Vascularized Skeletal Muscle Flaps for the Treatment of Volumetric Muscle Loss” Background Muscle tissues constitute a significant portion of human cellular mass and are a complex, highly vascularized, and dynamic tissue. However, traumatic or surgical Volumetric Muscle Loss (VML)—defined as the loss o...

Mitochondria-Targeting Bimetallic Cluster Nanozymes Alleviate Neuropathic Pain through Scavenging ROS and Reducing Inflammation

Mitochondria-Targeting Bimetallic Cluster Nanozymes Alleviate Neuropathic Pain by Scavenging ROS and Reducing Inflammation Background Introduction Neuropathic pain is a complex and multifaceted public health issue, with its high incidence and significant negative impact on patients’ quality of life making it a critical area of medical research. Cur...

Spiking Diffusion Models

Brain-Inspired Low-Power Generative Model: A Review on Spiking Diffusion Models Background Overview In recent years, the artificial intelligence field has seen a surge in cutting-edge technologies, with deep generative models (DGMs) demonstrating exceptional capabilities in producing images, text, and other types of data. However, these generative ...