Thoughtfully designed negative training datasets may hold the key to more robust machine learning models. Ursu et al. reveal how negative training data composition shapes antibody prediction models ...
The diagnostic delay in celiac disease (CD) is currently a burden for individual and society. Biochemical tests may be used in risk-identification of CD to reduce the diagnostic delay, and we aimed to ...
HYFT® technology computationally identified and prioritized a pan-serotype dengue target before immunization. Preclinical data support the prediction at the binding level: immunization with immunogens ...
MindWalk's Preclinical Dengue Data Support a HYFT® Computational Prediction: Immunogens Designed on the Predicted Target Elicited Cross-Reactive Antibodies Against Antigens of All Four Dengue ...
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