This new treatment uses silver diamine fluoride (SDF), which is an inexpensive liquid that prevents cavities.
Dental cavities are a distressing sensation that, if left untreated, can result in terrifying pain, swelling, and restless nights.
Category: biotech/medical – Page 429
Multimodal #AI for better prevention and treatment of cardiometabolic diseases.
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources existing in medicine today.
The last reported case of human plague in Florida occurred in 1920 during an outbreak in Pensacola.
Cases of leprosy have increased in Florida and the southeastern United States over the last decade, according to a new report.
Leprosy, officially called Hansen’s disease, is a rare type of bacterial infection that attacks the nerves and can cause swelling under the skin. The new research paper, published in the Centers for Disease Control and Prevention’s Emerging Infectious Diseases journal, found that reported cases doubled in the Southeast over the last 10 years.
Central Florida in particular has seen a disproportionate share of cases, which indicates it might be an endemic location for the disease, meaning leprosy has a consistent presence in the region’s population rather than popping up in the form of one-off outbreaks.
Organ-like groups of cells can be grown from amniotic fluid samples and offer hope for studying congenital conditions.
The CD4+ T cells of Rheumatoid arthritis patients have increased expression and concentration of ALOX5, the newly discovered target of Zileuton | Drug Discovery And Development.
In a recent review published in the Journal of Human Genetics, a group of authors explored the potential of deep learning (DL), particularly convolutional neural networks (CNNs), in enhancing predictive modeling for omics data analysis, addressing challenges and future research directions.
Study: Advances in AI and machine learning for predictive medicine. Image Credit: NicoElNino/Shutterstock.com.
One Protein to Rule Them All
Posted in biotech/medical
P53 is possibly the most important protein for maintaining cellular function. Losing it is synonymous with cancer.
The potential for personalized cancer treatment is fueling the need to identify T cell responses against neoantigens and other cancer-specific epitopes for the success of immunotherapy. Continuous advancements of epitope discovery prediction technology is leading to precise identification of antigen-specific T cells, playing a central role in monitoring immune responses to infection and cancer immunotherapies. Hence, the understanding of major histocompatibility complex class (MHC) molecules and peptides interaction within the immune system is fundamental for developing treatments in diseases like cancer and the creation of innovative vaccines.
Fundamentally, in vivo interaction between processed antigen loaded on MHC molecules is important communication for the adaptive immune response to alert against foreign antigens or cancerous cells. MHC I and II molecules loaded with foreign antigens or cancerous fragments are of great interest to the activation of the adaptive immune response. In vivo, peptide exchange reactions are not required for presentation of antigens by MHC molecules because they bind degraded antigens during assembly in the ER. However, peptide exchange reactions play an important role in the assembly of MHC molecules in vitro. It becomes essential to consider the allelic variation and peptide binding when utilizing MHC molecules for T cell detection ex vivo. It has been shown that immunogenic peptides tend to interact with their restricting MHC molecule. Thus, having the capability to assess the binding affinity of an in vitro interaction between peptide and MHC I is highly valued.
Combined, infection, autoimmunity and cancer account for 4 out of every 10 deaths worldwide, and represent major global health challenges. In a paper in the journal Cell Reports, Institute for Systems Biology (ISB) researchers highlight a novel discovery of how the human immune system works in common ways across diseases, and offer promising avenues for exploring multi-disease therapeutic strategies.
Many therapies, while effective for one class of disease, may aggravate others. Cancer treatments like immune checkpoint blockade, for example, can trigger autoimmunity. Similarly, drugs targeting autoimmune diseases may leave patients more susceptible to infections and cancer.
“Understanding shared human immune system characteristics across these disease contexts is crucial for identifying potential therapeutic strategies that could treat a patient’s primary ailment while not triggering secondary conditions,” said ISB President Dr. Jim Heath, corresponding author of the paper.