IDENTIFICATION OF MULTI-CLASS DRUGS BASED ON NEAR INFRARED SPECTROSCOPY AND BIDIRECTIONAL GENERATIVE ADVERSARIAL NETWORKS

Identification of Multi-Class Drugs Based on Near Infrared Spectroscopy and Bidirectional Generative Adversarial Networks

Drug detection and identification technology are of great significance in drug supervision and management.To determine the exact source of drugs, it is often necessary to directly identify multiple varieties of drugs produced by multiple manufacturers.Near-infrared spectroscopy (NIR) combined with chemometrics is generally used in these cases.Howev

read more


Fidelity of human ovarian cancer patient-derived xenografts in a partially humanized mouse model for preclinical testing of immunotherapies

Background Immune checkpoint blockers (ICBs) have been approved by the Food and Drug Administration to be used alone in front-line therapies or in combination with other regimens for certain advanced cancers.Since ICB only works in a subset of patients and has limited efficacy in treating ovarian cancer (OVC), developing preclinical models that hel

read more

Threshold response to stochasticity in morphogenesis.

During development of biological organisms, multiple complex structures are formed.In many instances, these structures need to exhibit a high degree of order to be functional, although many of their constituents are intrinsically stochastic.Hence, it has been suggested that biological robustness ultimately must rely on complex gene regulatory netwo

read more