Improving Glioblastoma Treatment with Imaging, Radiotherapy, Drug Delivery, and Therapeutic Systems

Improving Glioblastoma Treatment with Imaging, Radiotherapy, Drug Delivery, and Therapeutic Systems Academic Background Glioblastoma (GBM) is the most common and aggressive type of brain cancer, with an extremely poor prognosis and a five-year survival rate of less than 10%. Despite decades of extensive research in drug therapy, radiation therapy, ...

Ultralow-Power Carbon Dioxide Sensor for Real-Time Breath Monitoring

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 Healing of Bone Implant-Cement Interfaces by Aerogel Cement and Remote Heating

Minimally Invasive Healing of Bone Implant-Cement Interfaces by Aerogel Cement and Remote Heating

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...

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules Background Gastrointestinal (GI) diseases, such as inflammatory bowel disease, GI bleeding, and cancer, are significant global health issues. Traditional treatment methods, such as endoscopy and oral medications, though effective to some extent, have many limitatio...

Investment Micro-Casting 3D-Printed Multi-Metamaterial for Programmable Multimodal Biomimetic Electronics

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...

An Inkjet-Printable Organic Electrochemical Transistor Array with Differentiated Ion Dynamics for Sweat Fingerprint Identification

An Inkjet-Printable Organic Electrochemical Transistor Array with Differentiated Ion Dynamics for Sweat Fingerprint Identification

Sweat Fingerprint Identification Technology Based on Ion Dynamics: Research on Inkjet-Printed Organic Electrochemical Transistor Arrays Academic Background Sweat, as a non-invasive biomarker, contains rich physiological information that can reflect human health conditions, such as hydration balance and disease markers. However, sweat has complex co...

Multimodal Learning for Mapping Genotype–Phenotype Dynamics

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...

Leveraging Pharmacovigilance Data to Predict Population-Scale Toxicity Profiles of Checkpoint Inhibitor Immunotherapy

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...

A Spatiotemporal Style Transfer Algorithm for Dynamic Visual Stimulus Generation

Research Report on the Spatiotemporal Style Transfer Algorithm for Dynamic Visual Stimulus Generation Academic Background The encoding and processing of visual information has been a significant focus in the fields of neuroscience and vision science. With the rapid development of deep learning techniques, investigating the similarities between arti...

A Simulated Annealing Algorithm for Randomizing Weighted Networks

Research on Weighted Network Randomization Based on Simulated Annealing Algorithm Background Introduction In the field of neuroscience, connectomics is an important branch for studying the structure and function of brain neural networks. With the development of modern imaging technologies, researchers are able to acquire a wealth of biologically me...