Objective: To announce the FDA's approval of roflumilast cream 0.3% for the treatment of plaque psoriasis in pediatric patients aged 2 years and older. Approach
Objective: To report on the FDA's Complete Response Letter regarding Unicycive Therapeutics' New Drug Application for oxylanthanum carbonate. Approach: FDA Resp
Objective: To compare the effectiveness of brief conversations with a chatbot and public health materials on parents' intentions to vaccinate their children aga
Objective: To analyze the impact of social media on health-related decision-making among US adults. Approach: Survey Analysis: Investigators analyzed data from
Objective: To investigate the association between nutritional status and clinical outcomes in pediatric patients with COVID-19 admitted to intensive care units.
Objective: To report on the approval of the first CAR T therapy for solid tumors in China and related advancements in CAR T-cell therapy and gene therapy. Appro
Objective: To explore recent innovations and challenges in small molecule development, particularly in oral dosage forms. Approach: API Stability: Examines stre
Objective: To explore the origins of metabolites and cellular states using advanced mass spectrometry techniques. Approach: Microbiome Metabolites: Isotope trac
Objective: To provide insights from Mara Jana Broadhurst, microbiologist and infectious disease expert at the University of Nebraska Medical Center, on the rece
Objective: To analyze the demographic diversity of the pathology workforce in the United States, focusing on gender and racial/ethnic representation among recen
Women constitute 53% of recently certified pathologists in the U.S., a significant increase from 27% among those certified before 2006.
Diversity in pathology remains uneven, with female representation at 39% in clinical pathology compared to 52% in anatomic pathology.
Racial and ethnic disparities persist, with 62% of active pathologists identifying as White and only 4% as Black or African American.
American Indian and Alaska Native individuals are underrepresented in pathology by approximately sevenfold compared to national population figures.
The study indicates that recruitment into pathology has become more diverse, but efforts are needed to support underrepresented groups in advancing their careers.
Objective: To highlight the importance of early quality control (QC) planning in the manufacturing of cell and gene therapies. Approach: Regulatory Expectations
Objective: To identify lipid signals linked to retinal degeneration and assess the effects of restoring erucamide levels. Approach: Metabolomics Screening: Rese
Objective: To evaluate the efficacy of engineered CAR T cells targeting TNF in a mouse model of rheumatoid arthritis. Approach: Engineering CAR T Cells: CD8-pos
Objective: To evaluate the efficacy of ATSN-201, an investigational gene therapy for X-linked retinoschisis (XLRS), in a Phase 3 pivotal trial. Approach: Trial
Objective: To investigate the effects of the synthetic rexinoid compound NEt-3IB on ocular surface inflammation and goblet cell preservation in a mouse model of
Objective: To examine associations between daily weather conditions and unscheduled mental health–related healthcare contacts in England using large-scale natio
Objective: To evaluate the safety, feasibility, and early outcomes of using the SinglePass electrocautery device for hemostasis and biopsy tract closure in lung
Objective: To synthesize previously published studies on AI applications in triple-negative breast cancer (TNBC) across various modalities and clinical tasks. A
Triple-negative breast cancer (TNBC) lacks robust biomarkers for diagnosis and treatment-response assessment due to its aggressive and heterogeneous nature.
Artificial intelligence (AI) is increasingly utilized in TNBC for analyzing imaging, digital pathology, and molecular data.
AI applications in TNBC include lesion segmentation, subtype classification, and prediction of treatment response and survival.
Current AI studies in TNBC face limitations such as small cohorts, inconsistent definitions, and inadequate external validation.
Future advancements in AI for TNBC will depend on multi-institutional data curation and reliable multimodal designs.