Racial Disparity in Myeloablative Hematopoietic Cell Transplantation Outcomes in Patients with Hematological Malignancies Older Than 45 Years.

Introduction: The impact of race on outcomes of allogeneic hematopoietic cell transplants (HCT) has long been a field of research. The Center for International Blood and Marrow Transplant Research (CIBMTR) studies have shown worse survival for Black and Hispanic patients within the first year after HCT, but rates evened out for one-year survivors. From our personal experience, we hypothesize that the outcomes of South Asians (age ≥ 45 years) receiving myeloablative conditioning (MAC) are also worse compared to other races.

Ectodysplasin overexpression reveals spatiotemporally dynamic tooth formation competency in stickleback and zebrafish.

Organ initiation is often driven by extracellular signaling molecules that activate precursor cells competent to receive and respond to a given signal, yet little is known about the dynamics of competency in space and time during development. Teeth are excellent organs to study cellular competency because they can be activated with the addition of a single signaling ligand, Ectodysplasin (Eda). To investigate the role of Eda in tooth specification, we generated transgenic sticklebacks and zebrafish with heat shock-inducible Eda overexpression.

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals.

Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) and its variants have been shown to be effective in the diagnosis of cardiovascular disease from ElectroCardioGram (ECG) signals. In the case of ECG as a one-dimensional signal, 1-D CNNs are deployed, whereas in the case of a 2D-represented ECG signal, i.e.

Can the global drone revolution make agriculture more sustainable?

Rapid growth in drone use is upending expectations but also inducing trade-offs.