A Controllability Reinforcement Learning Method for Pancreatic Cancer Biomarker Identification [0.03%]
一种用于胰腺癌生物标志物识别的可控性强化学习方法
Yan Wang,Jie Hong,Yuting Lu et al.
Yan Wang et al.
Pancreatic cancer is one of the most malignant cancers with rapid progression and poor prognosis. The use of transcriptional data can be effective in finding new biomarkers for pancreatic cancer. Many network-based methods used to identify ...
TC-DTA: Predicting Drug-Target Binding Affinity With Transformer and Convolutional Neural Networks [0.03%]
基于Transformer和卷积神经网络的药物-靶点结合亲和力预测模型TC-DTA
Xiwei Tang,Yiqiang Zhou,Mengyun Yang et al.
Xiwei Tang et al.
Bioinformatics is a rapidly evolving field that applies computational methods to analyze and interpret biological data. A key task in bioinformatics is identifying novel drug-target interactions (DTIs), which plays a crucial role in drug di...
A2HTL: An Automated Hybrid Transformer-Based Learning for Predicting Survival of Esophageal Cancer Using CT Images [0.03%]
基于Transformer的自动化混合学习方法：利用CT图像预测食管癌患者生存期(A2HTL)
Hailin Yue,Jin Liu,Lina Zhao et al.
Hailin Yue et al.
Esophageal cancer is a common malignant tumor, precisely predicting survival of esophageal cancer is crucial for personalized treatment. However, current region of interest (ROI) based methodologies not only necessitate prior medical knowle...
Influence of Red Blood Cells on Channel Characterization in Cylindrical Vasculature [0.03%]
红细胞对圆柱形血管通道表征的影响
Kathan S Joshi,Dhaval K Patel,Shivam Thakker et al.
Kathan S Joshi et al.
Molecular communication via diffusion (MCvD) expects Brownian motions of the information molecules to transmit information. However, the signal propagation largely depends on the geometric characteristics of the assumed flow model, i.e., th...
Ghaleb A Husseini,Rana Sabouni,Vladimir Puzyrev et al.
Ghaleb A Husseini et al.
The need to mitigate the adverse effects of chemotherapy has driven the exploration of innovative drug delivery approaches. One emerging trend in cancer treatment is the utilization of Drug Delivery Systems (DDSs), facilitated by nanotechno...
Yitong Ma,Shuai Chen,Xu Qi et al.
Yitong Ma et al.
Traditional DNA storage technologies rely on passive filtering methods for error correction during synthesis and sequencing, which result in redundancy and inadequate error correction. Addressing this, the Low Quality Sequence Filter (LQSF)...
Parvathy Nair,Khairunnisa Amreen,R N Ponnalagu et al.
Parvathy Nair et al.
The identification of biomarkers has significant benefits for early disease diagnosis and treatment. Hence, there is an increasing demand for low-cost, disposable point-of-care diagnostic devices for rapid and specific biomarker detection, ...
Hadeel Elayan,Samar Elmaadawy,Andrew W Eckford et al.
Hadeel Elayan et al.
Proteins can be regarded as thermal nanosensors in an intra-body network. Upon being stimulated by Terahertz (THz) frequencies that match their vibrational modes, protein molecules experience resonant absorption and dissipate their energy a...
Design and Probing of Prism-Based SPR Nano-Biosensor for Human Sperm Detection [0.03%]
基于棱镜的SPR纳米生物传感器的人类精子检测的设计与探测
Yesudasu Vasimalla,Baljinder Kaur,Suman Maloji et al.
Yesudasu Vasimalla et al.
Human sperm functioning is crucial for maintaining natural reproduction, but its sterility is enhanced by variations in environmental conditions. Because of these agitating properties, powerful computer-aided devices are required, but their...
Machine learning-enhanced predictive modeling for arbitrary deterministic lateral displacement design and test [0.03%]
机器学习增强的任意确定性侧向位移设计和测试预测模型
Yidan Zhang,Junchao Wang,Jinkai Chen et al.
Yidan Zhang et al.
The separation of biological particles like cells and macromolecules from liquid samples is vital in clinical medicine, supporting liquid biopsies and diagnostics. Deterministic Lateral Displacement (DLD) is prominent for sorting particles ...