The American Journal of Managed Care

Predicting Patient Response in the Move Toward Precision Medicine in Myasthenia Gravis

Ratna Kiran Bhavaraju-Sanka, MD, and Beth Stein, MD, explore how understanding MG subtypes and patient characteristics enhances targeted therapy and personalized treatment.
SETI

The Drake Equation

- L: Longevity of civilizations Why It Matters: Guides scientific inquiry into extraterrestrial life—driving research on exoplanets, astrobiology, and SETI efforts ...
eLife

Viral genome sequence datasets display pervasive evidence of strand-specific substitution biases that are best described using non-reversible nucleotide substitution models

Most phylogenetic trees are inferred using time-reversible evolutionary models that assume that the relative rates of substitution for any given pair of nucleotides are the same regardless of the ...
RMD Open

Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE). However, no validated clinical tools for predicting damage accumulation ...