Artificial Intelligence Medical Compendium

Research shows that genetic variation directly influences DNA methylation, and this association has generally been explored on germline SNPs and at a population level. The presence of genomic variation and base modification on sequence reads generate... read more 

CRISPR-Cas9 enables precise genome editing but remains limited by off-target effects, raising safety concerns and necessitating accurate prediction. Although epigenetic features influence Cas9 binding and cleavage, their predictive signals are often ... read more 

Background: Surveillance tells laboratories which antimicrobial resistance genes are circulating now, but not which will change next. We built a model that forecasts, for each resistance gene and year, whether the following year brings a previously u... read more 

Quantifying the differentiation state of cells is an important task in regenerative medicine, cellular reprogramming and in elucidating how differentiation hierarchies are altered in aging and disease. For DNA methylation data (DNAm) there is however... read more 

Sensory neuroscientists seek to model the neural computations that encode complex stimuli. Distinct encoding models often make similar predictions for natural stimuli such as speech, posing a challenge for model comparison. We developed a method to s... read more 

Hybrid DNA foundation models combine convolutional, recurrent, and attention layers, making speculative decoding more difficult than truncating a KV cache. We present EvSpark, a speculative decoding system for Evo2 that verifies draft blocks in paral... read more 

Antibiotic resistance is an increasingly serious problem worldwide. Identifying the bacterial species can help guide antibiotic selection and improve patient outcomes. In sepsis, where every minute counts, rapid identification is particularly importa... read more 

Source-sink relationships describe how plants coordinate carbon production, transport, and utilization to support growth, reproduction, and stress responses. Classical physiological studies established a robust organ-level framework for carbon alloca... read more 

BackgroundAccurate ischemic stroke lesion segmentation from magnetic resonance imaging (MRI) is important but challenging due to variability in lesion morphology. Traditional convolutional neural networks (CNNs) effectively capture local spatial feat... read more 

BackgroundFibromyalgia is a chronic pain disorder associated with sleep disturbance and substantial functional burden.ObjectiveThis study evaluated a self-organized explainable feature engineering (SOXFE) model for EEG-based fibromyalgia classificati... read more