Developing a new drug is an expensive and time consuming process.

Here’s an interesting blog post about how deep learning can speed up the process and lower the costs.

The cost of developing a new drug and bringing it to market is anywhere between $1.3 billion USD to nearly $2.9 billion USD depending on who you ask. Many of the low-hanging fruit are already picked, and the changing health landscape of modern society compounds the challenge. Our aging society is now more heavily affected by heart disease, dementia, and cancer than our progenitors were.

Computer have wide applications across industries for quality control.

For instance, the majority of all medical data is image-based: The assessment of X-rays and scans is crucial for the right diagnosis and, thus, for the right treatment.

Public health depends on the accurate interpretation of every single image, and many physicians are obliged to choose between longer working hours or doing less detailed and precise medical image analysis.

Right now, medical staffers around the world are stretched thin, this is where AI can come into play.

Artificial intelligence in healthcare speeds up the process of medical image analysis and makes it more accurate and stress-free for medical personnel. Using artificial intelligence, it is possible to detect rare diseases, such as Noonan syndrome, or identify viruses and bacteria by analyzing Petri dish images. Computer vision and machine learning for medical image analysis are becoming as vital as an experienced lab worker with modern equipment.

The wide array of options for body scanning have improved patient outcomes, but the process of image interpretation is still labor intensive.

Here’s an interesting article on applying AI to the problem.

Malignant brain tumors are one of the most deadly forms of cancer, partially due to the dreadful diagnosis, but also because of the direct consequences on decreased cognitive function and lasting adverse impact on the quality of life of the patient.

Digitalization leads our world in a new are of technology.

Technology in Health-care is extremely important.

Fouad Al-Noor will teach you how to build a successful medical start up step by step: so that you don‘t have to fall in the Medtech Valley of Death.

Fouad has a masters in Electric Engineering with Nanotechnology from the University of Southampton. He worked as a research assistant at Imperial College London before joining Entrepreneur First.

He wrote his thesis on paper-based medical diagnostics using image processing.

Sensoria, is an Azure IoT partner whose vision is The Garment is The Computer®. Sensoria’s proprietary sensor infused smart garments, Sensoria®

Core microelectronics and cloud system enable smart garments to convert data into actionable information for users in real-time. Davide Vigano shares the vision and the product on the IoT Show and how they partner with Azure IoT.

Learn more about Sensoria: https://www.todaytonightadelaide.com.au/stories/sensoria-smart-socks