Spot helps firms address employee grievances anonymously using chatbot

IUT Annecy aims to beat the current record for the fastest bicycle travelling across flat road by creating the optimal aerodynamic design using machine learning

MIT Researchers design tool to optimise product designs according to optimal efficiencies and performance objectives

NASA and Autodesk reduce the weight of designs for space craft lander by 35% using machine learning for generative design

BERG is attempting to identify genetic predisposition to certain conditions using machine learning with promising Phase I study results

BERG is developing targeted cancer drugs using machine learning with promising Phase I study results

GlaxoSmithKline (GSK) plans to accelerate drug discovery as well as new applications for existing drugs using machine learning

GlaxoSmithKline (GSK) plans to reduce drug discovery to trial time from six years to 12 months using machine learning models to predict molecular behaviour

Pfizer identifies new potential cancer treatments using IBM Watson

Takeda and ConvergeHEALTH aim to better understand how treatment-resistant depression responds to medication using deep learning models

The Good Doctor Pharmaceutical Group's farm achieves manufacturing efficiency in breeding cockroaches for medicinal purposes through an AI-powered smart system

Action Against AMD and Benevolent AI aim to find treatments for age-related macular degeneration (AMD) that causes blindness using machine learning

Capitol Health improves accuracy of diagnosis from scans, X-rays etc using deep learning

Cardiogram detects atrial fibrillation with 97% accuracy surpassing FDA-cleared wearable ECG devices using the Apple Watch and machine learning

Dana Farber Cancer Institute accelerates clinical trial recruitment by using machine learning for genome mapping to identify best candidates

Duke University is researching how to predict the onset of Parkinsons by analysing mouse usage with machine learning classifiers

Duke University is researching how to predict the onset of neurological disorders such as Parkinsons by analysing Microsoft-Bing search logs using machine-learned classifiers

Fraunhofer Heinrich Hertz Institute and University Medical Center Schleswig-Holstein, a German University Hospital, has developed an algorithm to detect the probability of getting heart attack from ECG and EEG, matching accuracies achieved by cardiologists

Huashan Hospital develops a robotics based radiosurgery procedure to treat inoperable intracranial tumour sizes achieving 55% reduction on average

Minneapolis VA Health Care System is researching how to predict the onset of neurological disorders analysing computer usage and car driving patterns with machine learning classifiers

Researchers at Harvard University predict tuberculosis' resistance to first-line and second-line drugs with 94% accuracy and 90% accuracy using machine learning

Researchers at the University of Washington analyse sonograms of Rodents' audio signals with the use of AI

Babylon Health claims 82% accuracy for video medical diagnosis based on machine learning and natural language processing

Biogen to design individualized treatment plans for newly diagnosed patients with providers using machine learning

Cleo offers personalised support system for expecting parents which maps user preferences and helps them find matching providers and other services using machine learning

Hoobox Robotics enables wheelchair users to control the motorized machines through their facial expressions

IDX launched the first FDA approved artificial intelligence service that can diagnose the eye disease diabetic retinopathy without a clinician's involvement

Kaia Health alleviates back pain with an AI-powered motion tracking and correction technology app

Niramai develops screening tool that improves breast cancer diagnosis using machine learning

Researchers at Cornell University are using deep learning to develop dental restorations with better accuracy than human eye