Histology Agnostic Drug Development: An Updated Review.

Recent advancements in oncology have led to the development of histology-agnostic therapies, which target genetic alterations irrespective of the tumor's tissue of origin. This review aimed to provide a comprehensive update on the current state of histology-agnostic drug development, focusing on key therapies, including pembrolizumab, larotrectinib, entrectinib, dostarlimab, dabrafenib plus trametinib, selpercatinib, trastuzumab deruxtecan, and reprotrectinib. We performed a detailed analysis of each therapy's mechanism of action, clinical trial outcomes, and associated biomarkers.

MosquitoSong+: A noise-robust deep learning model for mosquito classification from wingbeat sounds.

In order to assess risk of mosquito-vector borne disease and to effectively target and monitor vector control efforts, accurate information about mosquito vector population densities is needed. The traditional and still most common approach to this involves the use of traps along with manual counting and classification of mosquito species, but the costly and labor-intensive nature of this approach limits its widespread use. Numerous previous studies have sought to address this problem by developing machine learning models to automatically identify species and sex of mosquitoes based on their wingbeat sounds.

Target-Driven Tissue-Agnostic Drug Approvals-A New Path of Drug Development.

The regulatory approvals of tumor-agnostic therapies have led to the re-evaluation of the drug development process. The conventional models of drug development are histology-based. On the other hand, the tumor-agnostic drug development of a new drug (or combination) focuses on targeting a common genomic biomarker in multiple cancers, regardless of histology.

Effects of Salts and Other Contaminants on Ciprofloxacin Removal Efficiency of Green Synthesized Copper Nanoparticles.

Ciprofloxacin (CIP), a broad-spectrum fluoroquinolone antibiotic, is commonly used in aquaculture to prevent and treat bacterial infections in aquatic animals. For this reason, aquatic environments contain CIP and its derivatives, which lead to the development of drug-resistant bacteria. In the present study, copper nanoparticles were prepared using extract (GME-CuNPs) as a reducing agent and evaluated for their CIP removal efficiency (CRE).

Antibody-decorated chitosan-iodoacetamide-coated nanocarriers for the potential delivery of doxorubicin to breast cancer cells.

Using an active targeting approach of chemotherapeutics-loaded nanocarriers (NCs) with monoclonal antibodies is a potential strategy to improve the specificity of the delivery systems and reduce adverse reactions of chemotherapeutic drugs. Specific targeting of the human epidermal growth factor receptor-2 (HER-2), expressed excessively in HER-2-positive breast cancer cells, can be achieved by conjugating NCs with an anti-HER-2 monoclonal antibody. We constructed trastuzumab-conjugated chitosan iodoacetamide-coated NCs containing doxorubicin (Tras-Dox-CHI-IA-NCs) as a tumor-targeted drug delivery system, during the study.

The effect of 3D stereopsis and hand-tool alignment on learning effectiveness and skill transfer of a VR-based simulator for dental training.

Recent years have seen the proliferation of VR-based dental simulators using a wide variety of different VR configurations with varying degrees of realism. Important aspects distinguishing VR hardware configurations are 3D stereoscopic rendering and visual alignment of the user's hands with the virtual tools. New dental simulators are often evaluated without analysing the impact of these simulation aspects.

Updated meta-analysis of randomized controlled trials on primary outpatient thromboprophylaxis in patients with gastric and gastroesophageal junction cancers receiving chemotherapy.

Advanced gastric cancer is a highly thrombogenic cancer per Khorana score. Recent clinical practice guidelines suggest primary outpatient thromboprophylaxis (POTP) for patients with a Khorana score ≥2. We performed an updated meta-analysis to evaluate the benefit of POTP in patients with gastric cancer and gastroesophageal junction cancers receiving chemotherapy.

Synthesis of Polyethylene Glycol Diacrylate/Acrylic Acid Nanoparticles as Nanocarriers for the Controlled Delivery of Doxorubicin to Colorectal Cancer Cells.

Doxorubicin (Dox) is known for its potential to deliver desirable anticancer effects against various types of cancer including colorectal cancer. However, the adverse effects are serious. This study aimed to synthesize polyethylene glycol diacrylate (PEGDA)/acrylic acid (AA)-based nanoparticles (PEGDA/AA NPs) for Dox delivery to colorectal cancer cells.

Complexity-Based Spatial Hierarchical Clustering for Malaria Prediction.

Targeted intervention and resource allocation are essential in effective control of infectious diseases, particularly those like malaria that tend to occur in remote areas. Disease prediction models can help support targeted intervention, particularly if they have fine spatial resolution. But, choosing an appropriate resolution is a difficult problem since choice of spatial scale can have a significant impact on accuracy of predictive models.

Automated outcome scoring in a virtual reality simulator for endodontic surgery.

Background And Objective: We address the problem of automated outcome assessment in a virtual reality (VR) simulator for endodontic surgery. Outcome assessment is an essential component of any system that provides formative feedback, which requires assessing the outcome, relating it to the procedure, and communicating in a language natural to dental students. This study takes a first step toward automated generation of such comprehensive feedback.