Latest AI and machine learning research in genetics for healthcare professionals.
Antiphospholipid syndrome is a rare systemic autoimmune disorder with complex pathophysiology and high heterogeneity in clinical presentation and treatment responses. The core idea of precision medicine is that the varying treatment responses among patients with the same clinical diagnosis are due to differences in their underlying pathogenetic mechanisms and genetic makeup. A better understanding...
Cell and gene therapies often express nonhuman proteins, which carry a risk of anti-therapy immunogenicity. An emerging consensus is to instead use modified human protein domains, but these domains include nonhuman peptides around mutated residues and at interdomain junctions, which may also be immunogenic. We present a modular workflow to optimize protein function and minimize immunogenicity by u...
Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...
AlphaFold 3 (AF3), an artificial intelligence (AI)-based software for protein complex structure prediction, represents a significant advancement in st...
Alzheimer's disease (AD) and atherosclerosis (AS) are two interacting diseases mostly affecting aged adults. AD is characterized by the deposition of ...
BACKGROUND: Methylation of RNA is involved in many pathophysiological processes. The roles of N6-methyladenosine (m6A) and N7-methylguanosine (m7G) in...
Genetic dissection and breeding by design for polygenic traits remain challenges. To meet these challenges, it is important to identify as many genes ...
Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis is a major clinical challenge due to the lack of va...
Diagnosing ASD in adults presents unique challenges, and there are currently no specific biomarkers for this condition. Most existing studies on the ...
: The prediction of cancer types is primarily reliant on driver genes and their specific mutations. The advancement in novel omics technologies has le...
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with limited treatment options, and early detection remains challenging due to the lack...
BACKGROUND: Laryngeal cancer (LCA) is the second most common type of head and neck malignancy, characterized by high recurrence rates and poor overall...
Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) or metabolic...
Stroke remains a leading cause of death and disability worldwide. While well-established risk factors play a major role, genetic predisposition is a c...
The democratization of genomic technologies presents substantial opportunities for addressing rare genetic diseases, particularly in collaborations be...
BACKGROUND: Accurate interpretation of genetic variants still represents a major challenge. According to current recommendations from the American Col...
Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of kidney cancer, distinguished by intricate interactions between metabolic reprogr...
Decreased glucose tolerance is recognized as a factor associated with Parkinson's disease (PD) progression, yet the relationship between HbA1c and PD ...
BACKGROUND: Gene expression analysis is a crucial tool for uncovering the biological mechanisms that underlie differences between patient subgroups, o...
To promote the inheritance of traditional culture, a variety of emerging methods rooted in machine learning and deep learning have been introduced. Du...