Importance: Contact tracing is the process of identifying people who have recently been in contact with someone diagnosed with an infectious disease. During an outbreak, data collected from contact tracing can inform interventions to reduce the spread of infectious diseases. Understanding factors associated with completion rates of contact tracing surveys can help design improved interview protocols for ongoing and future programs.
View Article and Find Full Text PDFIn early March 2020 an outbreak of coronavirus disease 2019 (COVID-19) in New York City exerted sudden and extreme pressures on emergency medical services and quickly changed public health policy and clinical guidance. Recognizing this, New York City Health + Hospitals established a clinician-staffed COVID-19 hotline for all New Yorkers. The hotline underwent three phases as the health crisis evolved.
View Article and Find Full Text PDFIn recent work, we discovered that the presence of highly substoichiometric amounts (10 molar ratio) of lipopolysaccharide (LPS) from Gram-negative bacteria caused fibrinogen clotting to lead to the formation of an amyloid form of fibrin. We here show that the broadly equivalent lipoteichoic acids (LTAs) from two species of Gram-positive bacteria have similarly (if not more) potent effects. Using thioflavin T fluorescence to detect amyloid as before, the addition of low concentrations of free ferric ion is found to have similar effects.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
April 2017
Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent are effective for tasks involving sequences, visual and otherwise. We describe a class of recurrent convolutional architectures which is end-to-end trainable and suitable for large-scale visual understanding tasks, and demonstrate the value of these models for activity recognition, image captioning, and video description. In contrast to previous models which assume a fixed visual representation or perform simple temporal averaging for sequential processing, recurrent convolutional models are "doubly deep" in that they learn compositional representations in space and time.
View Article and Find Full Text PDFAMG 114 is a novel, hyperglycosylated erythropoiesis-stimulating agent. In preclinical studies, AMG 114 demonstrated increased potency and longer half-life than darbepoetin alfa and epoetin alfa. This phase I/II, randomised, double-blind, placebo-controlled, dose-escalation study evaluated safety, pharmacokinetics, and efficacy of AMG 114 in patients with non-myeloid malignancies and chemotherapy-induced anaemia.
View Article and Find Full Text PDFObjective: Characterization of peripheral leukocytes is an important aspect of monitoring the effect of immunotherapeutic interventions in systemic lupus erythematosus (SLE). We analyzed cell surface markers commonly used to assess patients with SLE, focusing on the effect of holding blood prior to processing/analysis and the relative reliability of the measurements that were conducted.
Methods: Healthy volunteers (HV; n = 20) and patients with SLE (n = 42) were studied.
Anemia-related fatigue in cancer patients reduces health-related quality of life (HRQOL). These analyses evaluate the effect of hemoglobin level on fatigue and examine the relationship between improved fatigue and HRQOL. Data were collected during a multicenter, randomized trial involving 344 anemic patients with lymphoproliferative malignancies receiving chemotherapy and darbepoetin alfa or placebo.
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