Latest AI and machine learning research in leukemia for healthcare professionals.
Acetylcholinesterase (AChE) inhibition is a key mechanism in the treatment of neurodegenerative dise...
Foundation models have transformed natural language processing and computer vision, yet their potent...
Protein kinases regulate cellular signaling pathways through a cascade of phosphorylation activity, ...
The tumor microenvironment (TME) significantly impacts cancer progression and overall patient surviv...
Accurate in silico identification of B-cell epitope residues is crucial for antibody design and stru...
Context-specific protein-protein interaction (PPI) drive heterogeneity of primary tumor, forming a f...
Genomic selection (GS), which integrates genomic markers with phenotypic data, has emerged as a powe...
To understand the grid to place cell connectivity, we took place cell firing data from the Moser lab...
Decoding cellular systems requires integrating diverse omics data, yet most models are trained from ...
Foundation models are increasingly applied to single-cell transcriptomics, where they promise to cap...
Cell line engineering (CLE) is the process of gene editing cell lines for a variety of purposes for ...
Alternative splicing (AS) is a fundamental post-transcriptional mechanism that amplifies proteomic d...
Discovering new, efficacious molecules remains slow and costly; rigorous data science-driven systems...
Acute myeloid leukemia (AML) is a hematological cancer characterized by genetic diversity and poor c...
Malformations of cortical development such as tuberous sclerosis complex arise within a heterogeneou...
Extracellular vesicles (EVs) mediate tumor-immune cell communication by carrying protein cargo that ...
Endometriosis affects ∼10% of reproductive-age women, yet targeted non-hormonal therapies remain una...
Advancements in understanding the molecular factors driving pediatric leukemias have led to an ever-...
Drosophila melanogaster provides a model system to examine how environmental stress interacts with s...
Cell segmentation and phenotyping in histopathology samples are essential techniques applied across ...
T-cell acute lymphoblastic leukemia is a biologically heterogeneous malignancy characterized by dive...