The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led many researchers to explore ways to automate the process to make it more objective and to facilitate the needs of the healthcare industry. Artificial Intelligence (AI) and machine learning (ML) have emerged ...
Fritz, J. M. (1987). Chaco Canyon and Vijayanagra: Proposing spatial meaning in two societies. In Ingersoll, D. W., and Bronitsky, G. (eds.),Mirror and Metaphor: Material and Social Constructions of Reality, University Press of America, Lanham, MD, pp. 313–348. Google Scholar Gartne...
Native plants have evolved mechanisms to tolerate low rainfall and high salinity over hundreds of thousands of years (Steffen et al.2009). However, in the past 200 years, human activities have intensely disrupted the natural hydrological balance in many regions of the globe. This has resulted in...
because of the poor immunogenicity. Therefore, how to enhance the immune response to the tumor cells may be the key to the application of immune checkpoint inhibitors in advanced AM. Anti-angiogenic drugs, albumin paclitaxel, or interferons are thought to enhance the effectiveness of immune checkpoi...
Xenarthrans stand out among mammals for various reasons, one of them being their musculoskeletal postcranial specializations. Extant armadillos, anteaters, and sloths feature archetypical adaptations to digging and/or diverse arboreal lifestyles. Numerous extinct xenarthrans dramatically depart in size and...
Programmed cell death 1 (PD-1) signaling is commonly hijacked by cancer cells to escape immune surveillance [1]. When PD-1 and T cell receptor (TCR) bind to their ligands, the immunoreceptor tyrosine-based inhibitory motif and immunoreceptor tyrosine-based switch motif of PD-1 are phosphorylate...
mortality benefit for the treatment of HFpEF. The agents tested in trials to date, which were based upon an incomplete understanding of the pathophysiology of HFpEF, have not been positive. There is an urgent need to understand HFpEF pathophysiology and to focus on developing novel therapeutic ...
Here, the active learning (AL) (also called query learning, and called “optimal experimental design” in [3]) technique provides a solution by selecting/querying a small set of the most informative and representative points from the unlabeled points to label them. With this selected set of ...
Here, the active learning (AL) (also called query learning, and called “optimal experimental design” in [3]) technique provides a solution by selecting/querying a small set of the most informative and representative points from the unlabeled points to label them. With this selected set of ...