The rationale behind the treatment is that, because genetic FXI deficiency has been linked with reduced risk of ischemic ...

Abstract: To address the estimation bias caused by ignoring input noise in existing adaptive filtering algorithms, a new proportionate-type algorithm is proposed in this paper. First, a ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Thus, far from being an anarchic accident, cancer follows an orderly programme. "The challenge is therefore to find the keys to understanding its logic and form. And, in the case of metastases, to ...

By profiling gene expression in colon cancer cell clones, researchers identified signatures linked to metastatic risk and built an AI model that predicts spread and recurrence with high accuracy.

Why do some tumors spread while others remain localized? The mechanisms governing the metastatic potential of tumor cells remain largely unknown—yet understanding this is crucial for optimizing ...

After training, the model achieved an accuracy of nearly 80% in predicting the occurrence of metastases and recurrence of colon cancer, a result far superior to existing tools. In addition, signatures ...

Abstract: We present an overview of evolutionary algorithms that use empirical models of the fitness function to accelerate convergence, distinguishing between evolution control and the surrogate ...

Oil Production Flow Rate Prediction with Deep Neural Network Algorithm such as Recurrent Neural Network (RNN) and Long-Short Term Memory (LSTM). This Model will testing with Validation method called ...