DeepProphet: The state-of-the-art machine learning techniques serving Life Science Research
GeneRecommender utilizes a proprietary neural network known as DeepProphet, which analyzes an extensive collection of scientific articles and processes approximately 445 million connections. By inputting a selection of genes and/or diseases of interest, this engine generates recommendations for additional genes that are closely associated and should be taken into consideration by users. To leverage the latest information, we have integrated data from multiple public databases.
AN UNSTOPPABLE GROWING PLATFORM BASED ON VALUABLE DATA
GeneRecommender's Artificial Intelligence engine has been trained using an extensive dataset comprising millions of scientific papers. Throughout the learning process, the Artificial Neural Network analyzed the collective contributions of life science researchers worldwide over the past three decades. By extracting patterns and correlations among genes and diseases, GeneRecommender's AI engine acquired valuable insights from this vast body of knowledge.
Grow your knowledge THANKS TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
The Algorithm - DeepProphet2
GeneRecommender uses DeepProphet2, an advanced deep learning algorithm trained on all the scientific papers available online. Indeed, using cutting-edge Natural Language Processing (NLP) techniques, the system extracts key information from manuscripts and uses it to train a deep learning neural network to predict which genes might be associated with a given study. In order to accomplish this task, TheProphetAI developed a customer transformer-based model based on a design similar to that of the most famous and successful language models, such as LaMDA and GPT-3. We have tested the System using gene sets representing pathways and diseases. Recursively, a randomly chosen gene was left out and the remaining input was provided, we tested whether the algorithm could predict which gene was missing based on its first recommendation. Since the algorithm does not know the gene sets during training, if it can complete them, it has learned an accurate representation of genes. Using this kind of analysis, we reached an astonishing result: an AUC of 0.9.
If you would like to go into technical details about the algorithm and its validation, please consider downloading our scientific paper: [https://arxiv.org/abs/2208.01918]
Human and AI cooperation
The integration of Artificial Intelligence systems into your workflow can bring about significant advantages. To fully unlock the potential of these technologies, it is important to adopt AI in a safe and appropriate manner. While AI cannot replace humans in their roles, it can provide valuable assistance and support in daily tasks, enhancing efficiency and effectiveness. Although AI predictions are not always infallible, they offer a valuable starting point for addressing specific issues.
We firmly believe that the true potential lies in the collaboration between humans and machines. In-depth analysis by experts is necessary to comprehend the actual value of the recommendations derived from the AI engine. While our platform offers tools to comprehend the outcomes of each recommendation, it should be noted that we rely on AI precisely because working with such vast amounts of data is not feasible for humans alone.
Are the results always accurate? While perfection may not be attainable every time, a sufficient number of targets can yield statistically valuable results. Most of the recommended genes will provide useful insights for your research.
The process followed by Artificial Intelligence mirrors that of humans, but it operates at a fraction of the time. Researchers, like yourself, often refer to scientific literature to understand previous work on similar topics and gain deeper insights into their own research. In fact, we employ the same data, processed by a powerful neural network that possesses knowledge of the scientific community’s prior studies and experiments, enabling it to generate recommendations based on this wealth of information.
AI will not replace your work, but it will expedite your studies by providing innovative and indispensable insights.