Category Archives: Healthcare

Artificial Intelligence (AI) for Telemedicine: Use cases, Challenges

In this post, you will learn about different artificial intelligence (AI) use cases of Telemedicine / Telehealth including some of key implementation challenges pertaining to AI / machine learning.┬áIn case you are working in the field of data science / machine learning, you may want to go through some of the challenges, primarily AI related, which is thrown in Telemedicine domain due to upsurge in need of reliable Telemedicine services. What is Telemedicine? Telemedicine is the remote delivery of healthcare services, using digital communication technologies. It has the potential to improve access to healthcare, especially in remote or underserved communities. It can be used for a variety of purposes, including …

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Posted in AI, Data Science, Healthcare, Machine Learning, Telemedicine. Tagged with , , , , , .

Digital Healthcare Technology & Innovations: Examples

digital health technology and innovations

Digital healthcare technology is making waves in the medical community. It has the potential to change the way we approach healthcare, and it is already starting to revolutionize the way patients are treated. In this blog post, we will explore some of the most exciting digital healthcare technologies including AI / machine learning & blockchain based applications, initiatives and innovations. We will also take a look at some real-world examples of how these technologies are being used to improve patient care. Digital health refers to the use of digital technology to improve the delivery of healthcare services. Connected health (also known as i-health) is a term that encompasses all digital …

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Posted in AI, BlockChain, digital transformation, Healthcare, Machine Learning. Tagged with , , .

Clinical Trials & Predictive Analytics Use Cases

clinical trials predictive analytics machine learning use cases

Analytics plays a big role in modeling clinical trials and predictive analytics is one such technique that has been embraced by clinical researchers. Machine learning algorithms can be applied at various stages in the drug discovery process – from early compound selection to clinical trial simulation. Data scientists have been applying machine learning algorithms to clinical trial data in order to identify predictive patterns and correlations between clinical outcomes, patient demographics, drug response phenotypes, medical history, and genetic information. Predictive analytics has the potential to enhance clinical research by helping accelerate clinical trials through predictive modeling of clinical outcome probability for better treatment decisions with reduced clinical trial costs. In …

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Posted in Data Science, Healthcare, Machine Learning, Pharma. Tagged with , , .

Covid-19 Machine Learning Use Cases

covid19 machine learning use cases

The covid-19 virus is a type of coronavirus. It has been linked to severe acute respiratory syndrome (SARS). The covid-19 virus can be contracted through contact with saliva or mucous from an infected person. Symptoms include fever, cough, sore throat, headache, muscle aches, and fatigue. There are several problems related to the Covid-19 pandemic which can be solved using machine learning/data science techniques. In this blog post, we will look into some of these Covid-19 use cases which can be solved using machine learning classification and clustering techniques. What are Covid-19 data sets publicly available? One of the datasets available for studying Covid-19 is GISAID data (https://www.gisaid.org/) that represents million …

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Posted in Data Science, Healthcare, Machine Learning. Tagged with , .

Drug Discovery & Deep Learning: A Starter Guide

generative chemistry with variational autoencoder VAE

The drug discovery process is tedious, time-consuming, and expensive. A drug company has to identify the compounds that are most likely to be successful in drug development. The drug discovery process can take up to 15 years with an average cost of $1 billion for each drug candidate that passes clinical trials. With AI and deep learning models becoming more popular in recent years, scientists have been looking at ways to use these tools in the drug discovery process. This article will explore how deep learning generative models (GANs) could be used as a starting point for data scientists to get started drug discovery AI projects! What is the drug …

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Posted in AI, Deep Learning, Healthcare. Tagged with , .

Key Deep Learning Techniques for Disease Diagnosis

disease diagnosis using machine learning

The disease diagnosis process has been the same for decades- a physician would analyze symptoms, perform lab tests, and refer to medical diagnostic guidelines. However, recent advances in AI/machine learning / deep learning have made it possible for computers to diagnose or detect diseases with human accuracy. This blog post will introduce some machine learning / deep learning techniques that can be used by data scientists for training models related to disease diagnosis. What are different types of diseases that can be diagnosed using AI-based techniques? The following is a list of different types of diseases that can be diagnosed using machine learning or deep learning-based techniques: Cancer prognosis and …

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Posted in AI, Deep Learning, Healthcare, Machine Learning. Tagged with , , .