Genomic Profiling of Rare Undifferentiated Sarcomatoid Subtypes of Pancreatic Carcinomas: In Search of Therapeutic Targets

Genomic Characteristics of a Rare Pancreatic Cancer Undifferentiated Sarcomatoid Carcinoma Subtype Academic Background Pancreatic Ductal Adenocarcinoma (PDAC) is one of the deadliest cancers, characterized by early invasion and metastasis. Undifferentiated Sarcomatoid Carcinoma (USC) is a particularly aggressive but rare subtype of PDAC, accounting...

Analysis of Breast Cancer Brain Metastases Reveals an Enrichment of Cyclin-Dependent Kinase 12 Structural Rearrangements in Human Epidermal Growth Factor Receptor 2–Positive Disease

Research Report on CDK12 Structural Rearrangements in Brain Metastases of Breast Cancer Background and Purpose Breast Cancer (BC) is the second most common solid tumor involving the Central Nervous System (CNS). Brain Metastases from Breast Cancer (BCBMs) are becoming increasingly common among patients with metastatic breast cancer. Patients with a...

High-Dimensional Mapping of Human CEACAM1 Expression on Immune Cells and Association with Melanoma Drug Resistance

The Expression of High-Dimensional Mapping of Human CEACAM1 on Immune Cells and Its Association with Melanoma Drug Resistance Research Background Human Carcinoembryonic Antigen-Related Cell Adhesion Molecule 1 (CEACAM1) is an inhibitory cell surface protein that acts through homophilic and heterophilic ligand binding. The expression of this protein...

Hourly Step Recommendations to Achieve Daily Goals for Working and Older Adults

Timed Step Recommendations to Assist in Achieving Daily Goals - A New Strategy for Working and Elderly Adult Populations With the popularization of health trackers, high-resolution health data (such as hourly step counts) can be collected and used to evaluate health promotion plans. Take daily step goals for example. Research has found that the acc...

Towards Machine Learning-Based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection

Towards Machine Learning-Based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection

Study on the Role of Machine Learning-Assisted Quantitative Hyperspectral Imaging in Brain Tumor Resection Background Introduction Complete resection of malignant gliomas has always been challenged by the difficulty of distinguishing tumor cells in invasive regions. The background of this study is: In neurosurgery, the application of 5-aminolevulin...

Simulation Study Suggests Masks Can Become More Effective When Fewer People Wear Them

The Relationship Between Mask Effectiveness and Population Coverage Rates Background and Research Motivation During the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) such as social distancing, mask-wearing, and test-trace-isolate strategies were widely applied to control the spread of the virus. Despite a large body of empirical resear...

Efficient Deep Learning-Based Automated Diagnosis from Echocardiography with Contrastive Self-Supervised Learning

Breakthrough in Automated Echocardiogram Diagnosis via Deep Learning: A Comparative Study of Self-Supervised Learning Methods Research Background With the rapid development of artificial intelligence and machine learning technologies, their role in medical imaging diagnosis is becoming increasingly significant. In particular, Self-Supervised Learni...

Seeing an Apocalyptic Post-Antibiotic Future Lowers Antibiotics Expectations and Requests

How to Reduce the Expectations and Demand for Antibiotics in the Face of the Threat of a “Post-Antibiotic Era” Introduction Antibiotic resistance is becoming a global public health threat. Although the evolution of this resistance is a biological process, human behavior, especially unnecessary antibiotic use in agricultural production and human med...

Unified Metagenomic Method for Rapid Detection of Microorganisms in Clinical Samples

Unified Metagenomic Method for Rapid Detection of Microorganisms in Clinical Samples

Research on a Unified Metagenomic Method for Rapid Detection of Microorganisms in Clinical Samples Background Introduction The background of this research is based on the current limitations of clinical metagenomics. Clinical metagenomics involves genome sequencing of all microorganisms in clinical samples, ideally performed after depleting human D...

Mapping Multimorbidity Progression

Mapping Multimorbidity Progression Among 190 Diseases Background Globally, with the aging population and the significant increase in the negative impacts of chronic diseases, multimorbidity, the coexistence of multiple long-term conditions, has become an increasingly severe health challenge. Understanding the accumulation process of multimorbidity ...