A machine learning tool for early identification of celiac disease autoimmunity.

Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical records of Maccabi Healthcare Services, we developed and evaluated five machine learning models to classify patients as at-risk for CD autoimmunity prior to first documented diagnosis or positive serum tissue transglutaminase (tTG-IgA). A train set of highly seropositive (tTG-IgA > 10X ULN) cases (n = 677) with likely CD and controls (n = 176,293) with no evidence of CD autoimmunity was used for model development.

Field-Induced Antiferromagnetic Correlations in a Nanopatterned Van der Waals Ferromagnet: A Potential Artificial Spin Ice.

Nano-patterned magnetic materials have opened new venues for the investigation of strongly correlated phenomena including artificial spin-ice systems, geometric frustration, and magnetic monopoles, for technologically important applications such as reconfigurable ferromagnetism. With the advent of atomically thin 2D van der Waals (vdW) magnets, a pertinent question is whether such compounds could make their way into this realm where interactions can be tailored so that unconventional states of matter can be assessed. Here, it is shown that square islands of CrGeTe vdW ferromagnets distributed in a grid manifest antiferromagnetic correlations, essential to enable frustration resulting in an artificial spin-ice.

Real-world treatment patterns, biomarker testing, and clinical outcomes of metastatic non-small cell lung cancer patients in the immunotherapy era.

Background: Treatment for first-line (1L) metastatic non-small cell cancer (mNSCLC) changed with the introduction of immunotherapy. We describe treatment utilization and clinical outcomes in a real-world mNSCLC cohort in a 2.7-million-member state-mandated health provider.

Strength in Numbers: Identifying a Significant Association between High Serum Ferritin Levels and Newly Diagnosed Malignancy in a Large Health Organization Cohort.

Background: Ferritin, an iron storage protein and acute phase reactant, has been implicated in various aspects of human health and disease, including cancer. Previous studies have identified elevated serum ferritin (SF) levels in several cancer types, but a comprehensive examination across different malignancies remains lacking. This study aims to fill this gap by utilizing anonymized data from Maccabi Health Services (MHS), one of Israel's largest health organizations, to explore the association between elevated SF levels and the diagnosis of different malignancies.