Bioinformatics sounds like a futurist-type of occupation that could only be found in the not-too-distant future, the discipline is here and growing fast. Bioinformatics is the combination of computer science, data analytics, and biology.
Basically, it is the process of collecting, storing, and processing massive amounts of data using powerful computing programs, but the data that is collected and analyzed is biological data.
Bioinformatics has been used for cutting-edge, scientific studies like DNA sequencing, analyzing biological networks in systems biology, and simulating biomolecular interactions.
Artificial Intelligence (AI) has big implications for healthcare. This has been brought to light by the current global COVID-19 pandemic that has overloaded hospitals, stretched resources, and infected millions of people before tests and treatment could be made available.
AI-driven technology has been in development for the healthcare community for many years. For example, AI can be used to enhance 2D and 3D imaging to better detect abnormalities and improve diagnosis. However, there are still some challenges with how AI can be applied to healthcare.
As we navigate the daunting challenges of pivoting our current healthcare system to better treat and contain the spread of COVID-19 and future pandemics, artificial intelligence has taken center stage. The potential of AI for healthcare transformation is vast and all-encompassing –– it can improve the quality of patient care, streamline hospital processes, reduce bias, accelerate detection, and prevent disease.
In our first-ever virtual conference titled, “AI for Healthcare in the Time of COVID-19,” we gathered thought leaders from technology companies and healthcare organizations to discuss how AI is helping to stem the tide of COVID-19 cases and explore the practical applications of this technology in the healthcare space.
Here are some of the top insights about AI’s help in the response to COVID-19 and what AI can bring to the medical field’s understanding, diagnosis, and treatment of disease.