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Background: Advanced chronic kidney disease is a life-limiting disease that is known to benefit from palliative care. Unmet palliative care need in patients with kidney failure is commonly reported but the level of need among patients receiving haemodialysis is unknown.

Methods: A period prevalence study of adult patients attending two hospital-based dialysis units was conducted.

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Objective: The tendency to linguistically synchronize is an adaptive and prosocial process observed in verbal and written communication. Research in therapeutic contexts has primarily conceptualized reciprocal language style matching (rLSM; i.e.

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DrugRepPT: a deep pretraining and fine-tuning framework for drug repositioning based on drug's expression perturbation and treatment effectiveness.

Bioinformatics

November 2024

Department of Artificial Intelligence, Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer Science & Technology, Beijing Jiaotong University, Beijing 100044, China.

Motivation: Drug repositioning (DR), identifying novel indications for approved drugs, is a cost-effective strategy in drug discovery. Despite numerous proposed DR models, integrating network-based features, differential gene expression, and chemical structures for high-performance DR remains challenging.

Results: We propose a comprehensive deep pretraining and fine-tuning framework for DR, termed DrugRepPT.

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Article Synopsis
  • Previous research indicates some connections between thyroid function and sleep, but the exact causal relationships are still unclear.
  • This study used genetic data to explore how hyperthyroidism and hypothyroidism may influence five specific sleep traits: chronotype, sleep duration, daytime sleepiness, and insomnia.
  • Results showed no significant causal links between the sleep traits and abnormal thyroid function, but there was some evidence suggesting a possible relationship between hypothyroidism, short sleep duration, and daytime sleepiness.
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Background: Higher cytotoxic T lymphocyte (CTL) numbers in the tumor microenvironment (TME) predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) and positive long-term outcomes in triple-negative breast cancer (TNBC). pCR to NAC is achieved only in 30-40% of patients. The combination of NAC with pembrolizumab increases the pCR rate but at the cost of immune-related adverse events (irAEs).

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