Results 41 to 50 of about 756,991 (288)
The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld+7 more
wiley +1 more source
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu+11 more
wiley +1 more source
Use of IT tools to search for a correlation between weather factors and onset of pulmonary thromboembolism [PDF]
Pulmonary embolism (PE) and deep vein thrombosis (DVT) are gathered in venous thromboembolism (VTE) and represent the third cause of cardiovascular diseases. Recent studies suggest that meteorological parameters as atmospheric pressure, temperature, and humidity could affect PE incidence but, nowadays, the relationship between these two phenomena is ...
arxiv
Ubiquitination of transcription factors in cancer: unveiling therapeutic potential
In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley +1 more source
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image [PDF]
In this paper, a 3D-RegNet-based neural network is proposed for diagnosing the physical condition of patients with coronavirus (Covid-19) infection. In the application of clinical medicine, lung CT images are utilized by practitioners to determine whether a patient is infected with coronavirus.
arxiv
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen+12 more
wiley +1 more source
Hyewon Seo,1 Yun Su Sim,2 Kyung Hoon Min,3 Jae Ha Lee,4 Byung-Keun Kim,5 Yeon Mok Oh,6 Seung Won Ra,7 Tae-Hyung Kim,8 Yong Il Hwang,9 Jeong-Woong Park10 1Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic ...
Seo H+9 more
doaj
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
What Makes for Automatic Reconstruction of Pulmonary Segments [PDF]
3D reconstruction of pulmonary segments plays an important role in surgical treatment planning of lung cancer, which facilitates preservation of pulmonary function and helps ensure low recurrence rates. However, automatic reconstruction of pulmonary segments remains unexplored in the era of deep learning.
arxiv
Joon Young Choi,1,* Shin Young Kim,2,* Jae Ha Lee,3 Yong Bum Park,4 Yee Hyung Kim,5 Soo-Jung Um,6 Ki Suck Jung,7 Kwang Ha Yoo,8 Seoung Ju Park,9 Hyoung Kyu Yoon10 1Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon
Choi JY+9 more
doaj