Abstract: Embodiments disclosed herein may provide digital medicine support for predicting and mitigating side effects of bispecific antibody treatment (e.g., Pfizer's Elranatamab) for myeloma patients. The side effects may include cytokine release syndrome (CRS), infection (e.g., sepsis), neurotoxicity (e.g., peripheral neuropathy), cytopenia (e.g., neutropenia), etc. These side effects may be predicted based on passive collection of data from patient wearables, patient entered data on healthcare application, and other data such as bloodwork data. Trained machine learning models may be used for predicting the side effects. As the side effects may be predicted before their onsets, a proactive intervention may be feasible to improve the healthcare outcomes for myeloma patients.

Abstract: An apparatus and a method for mitigation of the effects associated with both blast and shrapnel. The mitigating apparatus is designed with alternating layers of blast mitigating substance, preferably liquid or hydrophilic gel or other viscous fluid, and anti-ballistic substance, preferably a textile, to treat both the air shock wave and the bomb-generated fragmentation and shrapnel, which originate from a detonation or explosion.

Abstract: A toothbrush comprising an elongated handle, a bristle support member articulately mounted on one end of the handle so as to be constrained, in use, into limited reciprocal movement with respect to the handle and in a direction of longitudinal axis of the handle. The toothbrush further comprising a plurality of bristle tuft arrays pivotally mounted on the support member about at least one pivotal axis substantially parallel to the longitudinal axis and articulately coupled to the one end of the handle so that the limited reciprocal movement of the support member gives rise to limited pivotal lateral rocking of the bristle arrays.