We developed a composite symptom score (CSS) representing disease-related symptom burden over time in patients with malignant pleural mesothelioma (MPM). Longitudinal data were collected from an open-label Phase IIB study in which 239 patients completed the validated MD Anderson Symptom Inventory for MPM (MDASI-MPM). A blinded, independent review committee of external patient-reported outcomes experts advised… →
Epidermal growth factor receptor (EGFR) is reportedly overexpressed in most esophageal squamous cell carcinoma (ESCC) patients, but anti-EGFR treatments offer limited survival benefits. Our preclinical data showed the promising antitumor activity of afatinib in EGFR-overexpressing ESCC. This proof-of-concept, phase II trial assessed the efficacy and safety of afatinib in pretreated metastatic ESCC patients (n =… →
BACKGROUND: The mainstay of treatment for early-stage follicular lymphoma is local radiotherapy, with a possible role for anti-CD20 monoclonal antibody (mAb). We aimed to evaluate the effect of these treatments using a measurable residual disease (MRD)-driven approach. →
Genomic rearrangements are vital in genetic diversity, facilitated by enzymes involved in DNA repair and genetic material movement, such as transposases and recombinases. These enzymes are utilized by mobile genetic elements (MGEs) to mobilize DNA, ranging from site-specific to semi-random insertions and deletions. Insertion sequences (IS), found extensively in bacteria and archaea, typically employ transposases… →
Natural Language Processing (NLP) is a critical area of artificial intelligence that focuses on the interaction between computers and human language. It involves developing algorithms and models that enable computers to comprehend, interpret, and generate human language. This technology finds applications in various domains, such as machine translation, sentiment analysis, and information retrieval. What presents… →
The Imbue Team recently undertook an ambitious project to train a 70-billion-parameter language model from scratch, achieving significant milestones in model performance and evaluation methodologies. Their team focused on creating a model that outperforms GPT-4 in zero-shot scenarios across various reasoning and coding benchmarks despite being pre-trained on only 2 trillion tokens compared to the… →
Large Language Models (LLMs) have demonstrated remarkable abilities in tackling various reasoning tasks expressed in natural language, including math word problems, code generation, and planning. However, as the complexity of reasoning tasks increases, even the most advanced LLMs struggle with errors, hallucinations, and inconsistencies due to their auto-regressive nature. This challenge is particularly evident in… →
CONCLUSION: Ulixertinib, a novel targeted agent with no previous pediatric data, was successfully evaluated in a national precision medicine basket trial. The pediatric RP2D of ulixertinib is 260 mg/m²/dose orally twice a day. Limited single-agent efficacy was observed in a biomarker-selected cohort of refractory pediatric tumors. →
Dolphin{anty} antidetect browser stands out as a robust solution designed to help users maintain anonymity, manage multiple accounts efficiently, and navigate the web securely. This article delves into the features, applications, setup processes, and advantages of using the Dolphin{anty} antidetect browser. Comprehensive Browser Fingerprint Management One of the core functionalities of Dolphin{anty} is its ability… →
Jina AI has released the Jina Reranker v2 (jina-reranker-v2-base-multilingual), an advanced transformer-based model fine-tuned for text reranking tasks. This model is designed to significantly enhance the performance of information retrieval systems by accurately reranking documents according to their relevance for a given query. It operates as a cross-encoder model, taking a query and a document… →