Health Care
Transforming patient care and expediting medical prognosis and reporting
Medicine and healthcare is a revolutionary and promising industry for implementing the data science solutions. Data analytics is moving the medical science to a whole new level, from computerizing medical records to drug discovery and genetic disease exploration. And this is just the beginning.
Healthcare and data science are often linked through finances as the industry attempts to reduce its expenses with the help of large amounts of data. Data science and medicine are rapidly developing, and it is important that they advance together.
Medical image analysis
The healthcare sector receives great benefits from the data science application in medical imaging. Numerous methods are used to tackle the difference in modality, resolution, and dimension of these images. Many more are being developed to improve the image quality, extract data from images more efficiently, and provide the most accurate interpretation. The deep-learning based algorithms increase the diagnostic accuracy by learning from the previous examples and then suggest better treatment solutions.
Genetics and Genomics
Despite the significant progress in developing the DNA sequencing technologies in the recent years, a lotis still left to explore, and the perspectives look encouraging. Many challenges remaindue to the continuous interactions between genes and the external variables. As soon as we acquire a reliable personal genome data, we will achieve a deeper understanding of the human DNA. The advanced genetic risk prediction will be a major step towards more individual care.
Drug Discovery
The idea behind the computational drug discovery is to create computer model simulations as a biologically relevant network simplifying the prediction of future outcomes with high accuracy. It allows choosing, which experiments should be done and incorporates all the new information in a continuous learning loop. Analogous techniques are used to predict the side effects of some particular chemical combinations.
Drug Discovery
The machine learning algorithms use natural language processing and generation to provide correct information, create a complex map of the user’s condition, and provide a personalized experience. This way, the most appropriate customer support is created which obviously cannot fully rely on the machines in healthcare. So, the main task for machine learning is to find the perfect balance between doctors and computers.
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