AI News, Artificial intelligence in digital pathology — new tools for diagnosis ... artificial intelligence

The Grand Challenge missions

Success in this mission is one of a number of steps towards saving lives and increasing NHS efficiency by enabling earlier diagnosis and reducing the need for costly late stage treatment.

Given this trend, it’s time to radically rethink how we respond, at each stage in life, to the way that we support our families and communities, as well as the way that we approach work, finances, health and care, and housing.

This mission aims to ensure that people can enjoy at least 5 extra healthy, independent years of life by 2035, while narrowing the gap between the experience of the richest and poorest.

Success in this mission will help people remain independent for longer, continue to participate through work and within their communities, and stay connected to others to counter the epidemic of loneliness.

By making our buildings more energy efficient and embracing smart technologies, we can cut household energy bills, reduce demand for energy, and boost economic growth while meeting our targets for carbon reduction.

We have: We will be launching: This mission will be achieved by:  Success in this mission would transform our industrial clusters into world leading low-carbon manufacturing hubs, safeguarding existing jobs and companies on which the prosperity of key regions depends.

It will further establish the UK’s position at the forefront of the global shift to Clean Growth by developing world-leading expertise in green manufacturing products, and the technologies and services required to produce them.

This mission aims to put the UK at the forefront of the design and manufacture of zero emission vehicles and sets an ambition for all new cars and vans to be effectively zero emission by 2040.

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Meanwhile, radiologists are using computer vision to discern between malignant and benign cells, while hospital systems are deploying AI-driven software to analyze the financial risk of individual patients on behalf of insurers.

In the map below, we identify the 90+ most well-funded healthcare AI startups across 12 categories representing a variety of industry applications where the tech is gaining traction.

Building upon more robust datasets, startups in this category help researchers recruit and retain patients, as well as design and manage their studies.  One startup applying AI to the clinical trial process is Teckro, an Ireland-based company that provides researchers with a machine learning-driven platform for monitoring trial progress across geographically dispersed teams.

Two different business models have emerged in this segment: biotechnology startups that are conducting internal R&D to discover new drugs, and pureplay SaaS startups that sell analytics software to pharmaceutical companies.

Among the most well-funded startups in this category are Recursion Pharmaceuticals and Blackthorn Therapeutics, AI biotech companies with drug development pipelines.  Recursion Pharmaceuticals, a Salt Lake City-based company backed by CRV and Lux Capital, manages a pipeline of drugs for cardiology, neurology, dermatology, hematology, immunology, ophthalmology, and other focus areas.

Startups in this category include AI-driven wellness applications that let consumers track their health and fitness metrics.  Tokyo-based FiNC, for example, uses an AI-driven chatbot to provide personalized recommendations to help users achieve their exercise, sleep, and nutrition goals.

The company has attracted $33.2M in disclosed equity investment.  Startups in this category leverage AI to improve decision making for hospitals by assessing healthcare quality with quantifiable, data-driven metrics. This category also includes companies using robotic process automation to streamline hospital operations.

Mindstrong Health has secured $60M in disclosed equity funding, with participation from Optum Ventures, Bezos Expeditions, and General Catalyst, among others.  Startups in this category are using artificial intelligence to develop nutritional foods and supplements, and to deliver personalized vitamins and health plans to consumers.

The company has raised $45.5M in total disclosed equity funding.  These startups are using machine learning and natural language processing to analyze and consolidate health data from disparate sources —

Notable investors include NEA and Steve Case’s Revolution.  Welltok is a Denver-based consumer health SaaS platform that uses AI to connect healthcare providers, employers, pharmacies, and PBMs to consumers with personalized health plans, based on a patient’s medical history.

While some startups are only providing the software analytics layer, others are developing their own sensors as well.  Biofourmis, for example, is developing an AI analytics engine that pulls data from FDA-approved home monitoring devices and predicts health outcomes for patients.

The company has raised $41.6M in disclosed equity funding, with notable investors including Aviva Ventures, OpenSpace Ventures, SGInnovate, and Mayo Clinic Ventures.  Another startup operating in this category is ContinUse Biometrics, a Tel Aviv-based company developing non-invasive sensor platform for tracking biological vitals, particularly for patients with diabetes and cardiovascular disease.

Babylon Health, the most well-funded healthcare AI startup, enables users to talk to a doctor within minutes and get medical advice via video consultations, phone calls, or text messages.

Inspirata and IBEX Medical Analytics Announce New Technical Partnership at the European Congress of Pathology, Nice

“Hugely impressed by the performance of clinical roll-outs, IBEX Second Read quickly emerged as a natural candidate for integration into our digital pathology proposition.  However, the team at Inspirata is almost equally attracted to what we see as a shared complementary focus on empowering pathologists as the key to increased diagnostic accuracy and improved patient care,” explains Inspirata EVP and Co-Founder Mark Lloyd.  “Arresting increased turnaround times necessitates digitisation be viewed not as an end in itself but as a vehicle for affording and rewarding clinical pathologists with the tools which enable them to spend more time on the complex cases and practice pathology at the very maximum of their credentials”.

“Having reached a tipping-point in which the majority of European laboratories are no longer debating ‘if’ they go digital but ‘how’, attention has naturally switched to the downstream opportunities presented by new image analysis tools,” details Tim Wing, General Manager of Inspirata Europe.  “The beauty of future-proofing your investment in digital pathology by insisting up front that it be comprised of an open architecture guaranteeing ease of integration with third-parties, is that a laboratory can get up and running with best-of-breed AI technologies such as IBEX today as opposed to having to wait to some distant point on the horizon.” Read Full Article: aithority.com

Inspirata and IBEX Medical Analytics Announce New Technical Partnership at the European Congress of Pathology, Nice

Tackling the same challenge from different directions, the combination of their respective workflow and image analysis software sees Inspirata and Ibex meet in the middle to address the nuanced requirements of clinical pathologists at a time of a chronic crisis in European histopathology recruitment which continues to threaten how quickly patients are diagnosed and put forward for treatment.     “Hugely impressed by the performance of clinical roll-outs, IBEX Second Read quickly emerged as a natural candidate for integration into our digital pathology proposition.  However, the team at Inspirata is almost equally attracted to what we see as a shared complementary focus on empowering pathologists as the key to increased diagnostic accuracy and improved patient care,” explains Inspirata EVP and Co-Founder Mark Lloyd.  “Arresting increased turnaround times necessitates digitisation be viewed not as an end in itself but as a vehicle for affording and rewarding clinical pathologists with the tools which enable them to spend more time on the complex cases and practice pathology at the very maximum of their credentials”.

'The exciting news for our mutual customers is where an appetite to embrace image analysis tools exists, one can be up and running almost immediately given the open nature of Inspirata’s platform.” Inspirata and IBEX Medical Analytics announcement coincides with their scheduled participation in the European Congress of Pathology 2019 in Nice taking place from 7th to 11th September.  Reflective of increased demand for digital pathology services in Europe, ECP 2019 represents the second time Inspirata have attended Congress since establishing European offices in the UK in early 2018, and comes just three months after it opened offices in Switzerland to service interest from German-speaking markets.  Located at stand R59, Inspirata will be delivering personalised demonstrations of its digital pathology solutions throughout ECP and providing guidance on how institutions can take full advantage of its partnership with Ibex Medical Analytics.  Inspirata is also a confirmed sponsor of the University of Nottingham's Image Analysis Training School taking place later from September 26th-27th.

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