West Sweden

Artificial Intelligence –

An Inspirational Map

West Sweden – Artificial Intelligence – An Inspiration

Introduction

Åsa Lindström, Sahlgrenska Science Park

Erik Behm, Business Region Göteborg

Inspirational Map of Big Data, Machine Learning & AI

Johan Hogsved, haw & co

Inspirational Map of AI in Life Science

Petra Apell, Aproficio AB

The Map

Selected Industries, Companies & Actors

Next Steps

West Sweden – Inspirational Map of

Big Data, Machine

Learning & AI

Disclosures Petra Apell

Disclosures Johan Hogsved

20 years of experience in combining Tech, Business & Leadership.

M.Sc. Engineering Physics, B.Sc. Business Administration.

I run a company in IT-development & management consulting and a startup in robotic automation.

Working as a consultant for Business Region Göteborg.

26 years of experience from Pharma, MedTech & BioTech.

M.Sc Chemistry, Gothenburg University.

PhD student, Chalmers University of Technology.

Serial entrepreneur. Current ventures: 10MD and Aproficio.

AI experience is somewhat limited. Extensive experience from applying new

technologies, e.g. eHealth and Virtual Reality, in medical applications.

Working as a consultant for Sahlgrenska Science Park.

The Mission

Create an map featuring West Sweden actors in

the Big Data, Machine Learning & AI arena

”Is it possible to find 100 companies and

organisations in the Gothenburg Area only?”

Definitions used here

Big Data: The use of predictive analytics, user

behavior analytics, or certain other advanced data

analytics methods that extract value from data.

Machine Learning: A field of computer

science that gives computers the ability to learn

without being explicitly programmed.

Artificial Intelligence: When a machine mimics

"cognitive" functions that humans associate with

other human minds, such as "learning" and

"problem solving”.

What we laughed at in 2014…

Where we are today…

Transport & Automotive Internet & Security Financial & ERP

Applications(verticals)

PartnersBIG DATA, MACHINE LEARNING & AI INSPIRATIONAL MAP – WEST SWEDEN 2018

Research & Education Incubators & ArenasService

Life Science Other verticals

Volvo Cars - Innovation in Transportation

Volvo Trucks - Innovation in Transportation

For Volvo Cars, technology

should make people’s lives

easier. That’s why our

approach to autonomous

driving is all about the

people that will use them.

Our future cars will be able

to navigate without human

input, equipped with

sensors that read the

surroundings, adapting to

changing traffic conditions.

”Our work is about where

the technology meets the

customer benefit. As a

starting point, we look at

the demands put on

customers by their

customers. We are focused

on solutions that can make

difficult, repetitive and time-

consuming tasks easier for

all concerned.”

Hayder Wokil

Autonomous & Automated

Driving Director,

Volvo Truck

Our company originates

from the safety leaders of

the automotive industry. We

are young as a company but

our starting point builds on

robust industrial automotive

solutions.

We have a unique skillset

from Tier 1 and OEM

domain knowledge. All the

way from sensors to vehicle

control.

We have joined forces to

create an independent

company offering our

passion, technology, and

solutions.

AI LANDSCAPE – TRANSPORT & AUTOMOTIVE

Veoneer’s ambition is to

be a leading system

supplier for ADAS and

autonomous driving as

well as a market leader

in automotive safety

electronics products.

Veoneer has the

world’s broadest

automotive safety

product portfolio,

comprised of state-of-

the-art active safety

systems, restraint

control systems, and

brake systems.

Recorded Future - Innovation in Cyber Security

You need more than just

internal network data to

uncover evolving and

stealthy threats.

We believe machine

learning combined with

human expertise is

unrivaled at scaling the

delivery of contextualized

threat intelligence.

”The world’s premier

platform for accumulating

knowledge

and building intelligence”

A revolutionary, open and

modular digital

investigation software used

by national

security, defense and law

enforcement agencies

around the world.

Halon consists of a

dedicated team of doers.

Together we have set out to

change the landscape of

email technology, by

enabling service providers

to tailor their perfect email

infrastructure.

AI LANDSCAPE – INTERNET & SECURITY

”To err is human, they

say. But in the security

business, the goal is a

zero fail rate, something

nobody comes closer to

than Irisity.”

Irisity’s solution: To

combine Artificial

Intelligence and

Machine Learning and

couple it with vigilant

human input.

AI is getting ready for healthcare.

But is healthcare ready for AI?

Traditional life science players are active in digitization

Our newly appointed Chief Digital Officer will help ustransform our business model using digital technologies. To improve the way we use data in drug discovery and development, engage with patients, doctors and otherstakeholders. And automate our business processes.Jim Jimenez, CEO Novartis

GSK has consistently been active in the digital space, most recently looking to apply AI to drugdiscovery and medical device mobile apps. The impact of technology on the healthcare industry is accelerating and requires us to rethink ourapproach.Emma Walmsley, CEO GSK

Through advanced tools like machine learning, we can understand which individualizedtherapies will be the most effective for improving quality of life, reducing healthcare costs, and preventing relapse and remission in specific segments of the population—all the waydown to individualized care. Stuart McGuigan, CIO, J&J

AI can create value across the value chain

R&D- Drug discovery

- Drug Design

- Clinical trials

Product & service

- Supply & distribution

- Product portfolio

- Education

User experience

- Diagnosis

- Patient support

- Decision support

Approach to analyzing AI adoption levels in West Sweden

Main purpose

Identify companies that address AI opportunities or apply AI technologies.

Secondary purpose

Catalyse the continued development of AI related life science projects.

MethodsSources: www, innovation system, funding agencies, EU applications, network, virtual

communities, public reports, newspapers, etc.

Interviews: 10 senior developers and managers.

Adoption level:

1 = Corporate strategy to address AI opportunities.

3 = Partial AI adopters or experimenters.

5 = AI adopters with proactive strategy and implemented solutions.

Life Science

NOTE: List may not be complete, new companies are continuously added.

List contains companies engaged on different levels.

AI used in a variety of applications across the value chain

11%

16%

11%

13%

38%

11%

Drug discovery & design

Product / service

Diagnostics

Education

Decision support

Patient support

AI adoption level per application

0%

20%

40%

60%

80%

100%

Drug discovery & design

Product / service

Diagnostics Education Decision support

Patient support

5 AI adopters with proactive strategy and

implemented solutions

3 Partial AI adopters or experimenters

1 Corporate strategy to address AI opportunities

Identified challenges

• Start-ups who might have the technology, might not have access to data.

• Which data sets are the most important ones?

• Structure and annotate data.

• Ownership of data - patient or company?

• Complexity is a limiting factor

• Sometimes difficult to show return on investment (ROI).

• Regulatory – clash between the dynamic and the traditional approach.

Peder Svensson, Dir Comp Chem & Biol, CIO

Integrative Research Laboratories

Drug discovery – the dominating picture

Binding assays

Cell-based assays

Ex vivo models

Animal models

Human pathophysiology

In silico drug design.

Virtual HTS

Big Data & AI

High throughput

screening (HTS)

Starting point

ISP - a useful complement in drug discovery

Binding assays

Cell-based assays

Ex vivo models

Animal models

Human pathophysiology

In silico drug design

Computational modelling at all

stages, including AI methods

Computational modelling including AI methods

Support for idea generation, Quantitative Structure-Activity

Relationships (QSAR)

Design of experiments / compound selection

Visualization and interpretationof data

Systems pharmacological translational modelling using

physiologically relevant, uniform and comparable data of high

quality

Artificial arms get closer to the real thing

Integrum has developed new breakthroughtechnology to connect bionic prostheses to the patient’s bone, nerves, and muscles.

Robotic prostheses controlled via implantedneuromuscular interfaces have become a clinical reality thanks to Integrum’sosseointegrated technology.

Founders:Per-Ingvar Brånemark & Richard Brånemark “We have used osseointegration to create a long-term

stable fusion between man and machine”Max Ortiz Catalan, Chalmers University of Technology.

INCREASE VALUE AND LIMIT RISK

IN R&D PROJECTS AND PORTFOLIOS

STRATEGIC QUESTIONS & UNCERTAINTIES IN R&D

Development MarketLaunch

PROJECT

• 2% chance of launch

• 1 bUSD to reach launch

• Price pressure

• Tougher requirements

• Multi bUSD R&D spending

• ROI less than 5%

PORTFOLIO

• Targeted paitents?

• How to develop?

• Cost vs Speed?

…

• Market size & uptake?

• Competition?

• Pricing?

…

• Invest? What option?

• Prioritized projects?

• Incoming project flow?

…

$

Design of options & scenarios

Quantitative evaluation of value & risk

Project/portfolio simulations

New insights

& new ideas

EVALUATE AND COMPARE OPTIONS ITERATIVELY TO

MAXIMIZE VALUE AND LIMIT RISK

•Captures all knowledge

incl. all complexities and

uncertainties

•Risk optimized against

the financial outcome

•Easy to compare options

•Potential areas of

improvement are

highlighted

•Game-like and dynamic

“Captario enables decision-making for drug development

projects in a way I have not seen it before. It sets a new

benchmark to assess the complexity and uncertainty of

pharmaceutical portfolios to identify and address

upcoming opportunities and gaps in the pipeline.”

Daniel Daetwyler

Head Portfolio Management

& Global Decision Support

Key findings – life science

There are extensive digitization activities and rapid growth across all fields in life science in the region.

There are increased understanding of opportunitiesrelating to AI applications in life science and healthcare.

There is potential for increased collaborations betweencompanies, regional Academic centers and Healthcare providers.

In the mind of AI savvy individuals…

It is superexciting to work across the fields ofmedicine, technology and economy to solvethe challenges healthcare face today.

The buzz around AI has resulted in an increased understanding of the capabilitiesof AI within our management team. That is very helpful. If we can improve compound selection early

in the drug discovery phase with the help ofAI, we will definitely cut costs!

I don´t think that clinicians will be replaced by AI solutions. What we can do is to equip Doctors withintelligent tools so they can make even better decisions.

I wish more AI developers would choose to work with life science – it´s definitely a growing field!

Change is inevitable.

Progress is optional.

Key Findings

Rapid growth in the region

Found in almost every vertical

Usage of technologies adapted to need

The possibilities using the technology increases and

the threshold to start gets lower and lower

All actors are not world leading in AI –

but use it to improve their

current business

Internet

Incubators

&

Arenas

Internet

&

Secuity

Transport

&

Automotive

PartnersLife

Science

Research &

Education

Financial

&

ERP

CONFERENCES & MEETING SPACESSPREADING THE WORD

➢2018-02-22 Metis Forum – Pre-Hospital ICT Arena

➢2018-04-10 GAIA Machine Learning & Data Science Conference 2018

➢2018-04-12 Vehicle Electronics & Connected Services – Lindholmen

➢2018-04-23 Foss North

➢2018-04-24 Vitalis 2018 - E-health

➢2018-04-26 MedTech West Workshop – Invitation only

➢2018-05-21 Gothenburg Tech Week

➢2018-05-27 ISCE 2018 – International Conference on Software Engineering

➢2018-05-29 Lindholmen Software Development Day 2018

➢2018-09-27 Park Annual 2018 – Life Science, incl. Digital Health & MedTech

➢MeetUp Machine Learning & Data Science (GBG)

Thank you!