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Developing a collaborative network to study TB and HIV biomarkers
Dr. Andrade lab is dedicated to identifying reliable host biomarkers that can predict susceptibility to infection and disease severity in tuberculosis (TB) and HIV. By establishing a strong network of collaborators from different TB endemic countries, such as India, China, South Africa and Brazil, his group has designed cohort studies in which synchronization of clinical and immunologic data collection results in validation of biomarker findings across countries. In addition, the Andrade Lab performs integrative analyses merging epidemiologic, socioeconomic, clinical, immunologic, microbiologic and geographic data to more robustly describe the TB determinants and help to delineate more reliable decision-making strategies.
Recently, the team at DeepMind has released a deep learning based protein folding structure prediction algorithm called Alphafold2. This algorithm has achieved remarkable scores at the CASP14 competition, and in many cases achieves remarkable accuracy…
B cells contribute to multiple aspects of autoimmune disorders through autoantibody production, antigen presentation, cytokine secretion, and formation of tertiary lymphoid structures. B cell targeting therapies have been developed and approved for treatment of autoimmune diseases…
Neural mechanism underlying the anti-nausea effect of GIP
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