Latest AI and machine learning research in lupus for healthcare professionals.
Transcriptome-wide association studies (TWASs) help identify disease-causing genes but often fail to pinpoint disease mechanisms at the cellular level because of the limited sample sizes and sparsity of cell-type-specific expression data. Here, we propose scPrediXcan, which integrates state-of-the-art deep learning approaches that predict epigenetic features from DNA sequences with the canonical T...
Developing an effective medicine to combat cancer and elusive stem cells is crucial in the current scenario. Withaferin A and Garcinol, important phytoconstituents of Withania somnifera (Ashwagandha) and Garcinia indica (Kokum) respectively, known for their therapeutic efficiency, have been used for several decades for treating various disorders, because of their anti-cancerous, anti-inflammator...
Despite the success of BCMA-targeting CAR-Ts in multiple myeloma, patients with high-risk cytogenetic features still relapse most quickly and are in u...
Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but a deeper understanding of its therapeutic mechani...
Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search for anti-aging drugs. We have applied a machine lea...
Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical efficacy is limited by several factors, such as poo...
Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor response to pharmacological treatment, partially du...
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generalized immunosuppressive medications. However, most im...
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in ...
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse...
Water temperature can vary substantially even across short distances within the same sub-watershed. Accurate prediction of stream water temperature ...
OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the specific genes and pathways altered in SLE patients ...
Susana Vázquez Torres talks to Ana Lesher Treviño about AI-guided protein design for antivenoms and her aim to improve access to lifesaving treatments...
Downsampling layers are crucial building blocks in CNN architectures, which help to increase the receptive field for learning high-level features an...
The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publi...
The rise of customized diffusion models has spurred a boom in personalized visual content creation, but also poses risks of malicious misuse, severe...
Stereotypes are known to be highly pernicious, making their detection critically important. However, current research predominantly focuses on detec...
Face anti-spoofing (FAS) techniques aim to enhance the security of facial identity authentication by distinguishing authentic live faces from decept...
Background: Renal chronicity indices (CI) have been identified as strong predictors of long-term outcomes in lupus nephritis (LN) patients. However,...
Face anti-spoofing (FAS) plays a pivotal role in ensuring the security and reliability of face recognition systems. With advancements in vision-lang...