Meet us at Deep Learning Summit, Singapore, 27th - 28th April

27 - 28 April, 2017

With medical imaging data growing exponentially every day, the rate of growth of number of radiologists is extremely low. Deep learning is enabling radiologists to cover this chasm by enabling them to make faster and efficient diagnosis. However, there are many challenges that needs to be addressed before this technology becomes an integral part of the medical industry. In the session titled "Building Algorithms we can trust", Shubham Jain will briefly take us how Qure.ai is building systems that can reason for their inference.
About the event: The Deep Learning Summit is the next revolution in artificial intelligence. Explore the impact of image and speech recognition as a disruptive trend in business and industry. How can multiple levels of representation and abstraction help to make sense of data such as images, sound, and text. Hear the latest insights and technology advancements from industry leaders, startups and researchers. For more information visit: https://www.re-work.co/events/deep-learning-summit-singapore-april-2017/

Experience Qure.ai at the Tech Café, NASSCOM India Leadership Forum, 15th February

9 February 2017

At Qure.ai we leverage Artificial Intelligence and Deep Learning to automatically report on CT Scans, MRIs and X-Rays. At the Tech Café, NASSCOM India Leadership Forum, we will display this capability in 3D VR format where the user will be able to visualize the MRIs and CTs in a three dimensional view using a Virtual Reality device and through web demos enabled on large screen monitors.
About NASSCOM India Leadership Forum - NASSCOM India Leadership Forum (NILF), is the apex body’s flagship event which attracts 2000+ participants from far and wide to attend this global conference, which really is the melting pot of latest thoughts and thought leaders alike. For more more information visit http://www.nasscom.in/Indialeadershipforum-2017/

Prashant Warier, CEO, at NASSCOM Product Conclave, February 7

31 January 2017

"For the Love of Science", the panel will showcase Deep Tech companies who have successfully crossed the chasm. What does it take to create deep new technology and convert it into commercial success in India? Hear how they started, grew, and created a business out of science. Silicon Valley does not have a monopoly on cutting-edge science & technology ventures anymore!
About NPC - NASSCOM Product Conclave (NPC) is the platform for Indian software product companies to engage with the community. NPC is a unique event wherein the best and brightest technology leaders, emerging companies and start-ups congregate. To learn more about the event visit - http://www.nasscom.in/npc-north

Qure.ai wins Nvidia’s Social Innovation Award

21 December 2016

Qure.ai won the Social Innovation Award at the Emerging Companies Summit (ECS), held ahead of the first India edition of the Nvidia GPU Tech Conf, in Mumbai on 5th and 6th December 2016. With ECS, NVIDIA aims to recognize startups that are doing remarkable work in the areas of artificial intelligence, virtual reality, autonomous vehicles and robotics.
Qure.ai was one of 12 emerging companies using GPU technology, selected to present at the event, and went on to win the social innovation prize, worth $200,000. The award reinforces Qure’s mission to make healthcare accessible and affordable using deep learning.

Qure.ai presenting at Emerging Companies Summit, Nvidia GTCx 2016

1 December 2016

NVidia will host the first ever India edition of the GPU Tech Conf - GTCx 2016 on 5th and 6th December 2016. The event will bring together luminaries in deep learning, high performance computing, artificial intelligence and visual computing from across industry, startups and academia. The Emerging Companies Summit (ECS), on day 1 of the event features 12 selected start-up companies using GPU technology.
Qure.ai was chosen to present their work to the GPU community and to a jury of investors at the ECS. Prashant Warier, CEO, Qure.ai will speak at the event, talking about ‘Training Machines to read Chest X-rays, CT scans and MRIs’. Qure will also host an interactive demonstration station at the event, displaying our deep learning solutions for medical imaging.

Qure.ai wins Digital Pathology Challenge at MICCAI 2016

21 October 2016

Qure.ai won the Segmentation of Cell Nuclei digital pathology challenge at MICCAI 2016. It involved nuclei segmentation in whole slide tissue images obtained from patients with non small cell lung cancer (NSCLC), head and neck squamous cell carcinoma (HNSCC), glioblastoma multiforme (GBM), and lower grade glioma (LGG) tumors. Outlining nuclei in tumorous tissue is an important step towards fully automated tumor grading. Qure.ai presented the work at MICCAI conference held at Athens on 21st Oct 2016

Qure.ai in top 3 of Brain Tumor Segmentation Challenge at MICCAI BRATS 2016

17 October 2016

Qure.ai placed third on the task of predicting brain tumor progression in the Multimodal Brain Tumor Image Segmentation (BRATS) challenge. This edition of the BRATS conference focused on longitudinal data analysis, lesion segmentation and mild traumatic brain injuries.
Tracking the progression of brain tumors is a challenging task due to the slow growth rate and the combination of different tumor components. Our deep neural-network-based architecture segments the brain tumor, and focuses on improving accuracy at the edges of these different classes. We show that enhancing the loss function to give more weight to the edge pixels significantly improves the neural network's accuracy at detecting boundaries.

Prashant Warier talks about Deep Learning in Healthcare at the NASSCOM Design and Engineering Summit 2016

5 October 2016

Prashant Warier, CEO, Qure.ai speaks about ‘Demystifying deep learning and Artificial Intelligence’ at the NASSCOM Design and Engineering Summit 2016. This will be an introductory session to deep learning and artificial intelligence. Prashant will cover the basics of deep learning and talk about how it is revolutionizing the space of artificial intelligence. He will also talk about how data scientists can start using deep learning and discuss how business leaders can adopt it within their industries.