Artificial intelligence to fight against covid19

ARTIFICIAL INTELLIGENCE:
Helping Hand In The
Fight Against COVID-19
BAYSLOPE
July 2020

AI – helping hand in the fight against Covid-19 Page 2
INTRODUCTION
The global medical sciences fraternity is working tirelessly to handle
COVID-19 ever since the outbreak was announced. Scientists have
been working tirelessly to sequence the genome of the novel
coronavirus, pharma giants have launched supportive therapies (e.g.,
Fabiflu and Remdesivir) in less than six months, and clinical trials of all
active vaccine candidates are taking an aggressive path.
Tied to these efforts is Artificial intelligence (AI) that has been
contributing significantly in expediting the efforts of handling this crisis. A
significant example is that of a Canadian AI-based company BlueDot,
which detected the outbreak of COVID-19 very early on.

Figure 1 – AI domains
Prediction & Alerts
Diagnosis
Assistance & Prevention
Treatment & Cure
Research & Development
Other examples include use of AI in early diagnosis of coronavirus
infection by improving the speed and accuracy of imaging techniques,
deployment of AI-based robots to sterilize medical facilities, use of
drones to deliver medical supplies, identifying people’s compliance with
COVID-19 medical guidelines, and understanding and suggesting the
development process for vaccines and drugs. These are just a few
examples; the applications of artificial intelligence to fight against the
novel coronavirus is seemingly endless.
In this light, Bayslope has conducted a secondary research to identify
potential AI-driven solutions around the world to tackle COVID-19. Our
findings are presented in this report. The solutions are broadly classified
under five technology domains/ themes (shown in Figure 1 below).
Artificial
Intelligence
(AI)
combating
COVID-19

1. PREDICTION &
ALERTS
2. DIAGNOSIS
This category captures concepts such as predicting a
disease outbreak, tracking its spread, and sending
alerts/ warnings to various healthcare systems,
agencies, and governments. The disease prediction may
be based on data collected from diverse sources such as
travel history, news articles, population density, disease
type, as well as real-time information.
For instance, Blue Dot, a Canadian start-up, developed
an alarm system that indicates a possible outbreak. This
system was released on December 31st, 2019, which
was earlier than the WHO announcement. The company
deployed its AI-based tools to analyze data and predict
the outbreak of COVID-19. The company analyzed
information related to airline ticketing, flight paths and
other data to accurately predict that COVID-19 would
jump from Wuhan to Bangkok, Seoul, Taipei, and Tokyo.
On similar lines, companies, such as Stratifyd and
Metabiota have been using AI tools to predict global
outbreaks of many infectious diseases.
This domain defines methods and/or applications that
help in the detection and identification of various
symptoms and causes of the disease. For instance,
various AI-based solutions have been used in
conjunction with CT scan devices, X-ray machines,
voice, and other medical devices to enhance the
accuracy and efficiency of the underlined diagnosis
methods.
Infervision, a Chinese start-up, offers a similar AI-based
solution to analyze CT scan images of the patients and
flag patients that are suffering from the disease.

3. TREATMENT &
CURE
4. ASSISTANCE &
PREVENTION
Similarly, Chinese technology giant M3 Incorporation,
which is part of Alibaba Group Holdings, developed an
AI-based tool to analyze CT scan images to quickly
identify patients suffering from COVID-19.
This domain provides solutions that help in identifying
novel or repurposed drug targets and/or vaccines by
studying molecular details and other characteristics of
the target molecules. AI is leveraged to assist in the
study of the 3D structure of potential drugs and analyze
the performance of these drugs against their biological
targets.
Remarkable AI-based applications under this domain
include performing genome analysis, identifying
molecules for potential medications, antibody discovery,
developing RNA-based vaccines, predicting the structure
of virus associated with the disease such as coronavirus
protein structures, secondary structure of ribonucleic
acid (RNA) sequence of COVID-19, and more.
Google’s DeepMind uses deep learning to predict the
structure of proteins associated with SARS-CoV-2 and
the virus that causes COVID-19 to understand its
functioning. Further, Makers Lab’s, the R&D department
of Tech Mahindra, is deploying AI to conduct research
and develop potential drugs for the treatment of COVID-
19.
Assistance & Prevention is an equally important category
that captures all AI-based solutions that can help in the
prevention and assist during the tough times of an
outbreak. Various examples include the use of robots for
delivering medical supplies and essential needs, taking

5. Research &
Development
care of patients, assisting doctors or nurses and
disinfecting rooms.
Similarly, drones have been used to deliver medical
supplies from one city to another city.
Another exemplary usage of AI in assisting and
preventing the intensity of an outbreak is the use of AI-
enabled thermal cameras to determine body temperature
of people at public places.
Diycam’s hospital management solution offers AI-based
solutions for healthcare institutes to check in real-time if
doctors and medical staff are wearing masks, caps,
gloves, etc. The underlined technology uses computer
vision, machine learning, and artificial intelligence to
collect, collate and analyze data from target sites, and
help medical authority keep a check on the status of
compliance.
Maccabi Healthcare Services, an Israel-based
organization, is yet another example that offers an AI-
based solution to identify people who are at maximum
risk of getting infected. The identification is done based
on the analysis of healthcare records of target people.
The category ‘Research and Analytics’ focuses on
collating and analyzing the necessary research records
that may act as a repository for researchers and
scientists to find a viable solution against COVID-19. For
instance, the Semantic Scholar team at the Allen
Institute for AI has partnered with leading research
groups to provide COVID-19 Open Research Dataset
(i.e. CORD-19), a free resource of more than 128,000
scholarly articles about the novel coronavirus. Similarly,
Innoplexus provide its Ontosight®
AI search platform that

is freely available worldwide to researchers. The platform
provides latest global information around COVID-19.

Artificial
Intelligence
is assisting
with population
screening,
drug discovery,
and resource
management
to fight against
COVID-19*.
*WHO declared in a digital health roundtable in June. 2020

Potential AI-driven solutions around the world
Figure 2 – Geographical origin of AI solution providers for COVID-19
A massive pool of technology
companies, startups, research
organizations, and universities have
joined hands to work on AI-based
solutions in the fight against COVID-19.
Bayslope studied potential solutions
provided by various organizations from
this pool. Interestingly, the US alone has
contributed 28% of the available AI-
based solutions, followed by UK and
India (as shown in Figure 2). Majority of
these solutions are focused on
Diagnosis (36%), followed by
Predictions and Alerts (23%) and
Prevention and Assistance (20%), as
shown in Figure 3.
Figure 3 – Domains targeted by AI solution providers
for COVID-19
23%
36%
18%
20%
3%
Prediction and
Alerts
Diagnosis
Treatment & Cure
Prevention &
Assistance
Research &
Development

1. Predictions & Alerts
Ada health
Ada Health has developed a
COVID-19 assessment app that
uses the amalgamation of medical
knowledge and probabilistic
reasoning to provide assessments
of a user's symptoms. This helps
provide measures to be taken in the
form of care navigation.
Courtesy – Ada health
Bluedot
BlueDot was among the first in the
world to run an AI-based warning
system to identify the emerging
risks of COVID-19 pandemic. It also
notified its clients through the
company's insight platform. BlueDot
insights send relevant and real-time
alerts to clients to help them easily
quantify their risk of exposure to
COVID-19.
Bespoke
Bespoke launched an AI chatbot
adviser - Bebot - to offer
coronavirus updates to travelers. It
also announced the launch of
BeAssist to help small businesses
create their own AI chatbox.
Courtesy – Bespoke
BlinkIn
BlinkIN offers Scotty, an AI and
Augmented Reality (AR) powered
live video calling system. This
system can be used to set up a
secure connection between
customer or field engineer and
remote experts. The company also
offers Huston, an AI-enabled self-
service system powered by a virtual
agent that allows users to leverage
the expertise of senior engineers
via smartphones.

AirHealth
AirHealth’s virtual care platform,
Vital Health, provides early
detection of respiratory decline
(breathing disorder). It uses 35
proprietary and IP protected
biomarkers to assess different
dimensions of lung health and
process them in the AI engine to
categorize the severity of
symptoms. In addition, its remote
patient monitoring (RPM) vital sign
tool and a phone camera-based
warning system helps assess
patient decline.
Courtesy – AirHealth
Epic
The Epic AI model predicts the
severity of illness in Corona
patients. The model utilizes data
from more than 16,000 hospitalized
COVID-19 patients.
CLEW
CLEW’s AI-based predictive
analytics platform, CLEW-ICU,
provides early identification of
potential respiratory failure in
patients.
Courtesy – CLEW
Metabiota
Metabiota uses its AI-based
epidemic tracker platform to detect
the Coronavirus pandemic
outbreak. This platform uses a
digital surveillance system and a
global disease spread model to
predict epidemic spread.
SparkBeyond
SparkBeyond has leveraged its AI-
driven data analysis platform to
gather millions of data and has
created a dynamic, high accuracy
heat map that can predict where a
COVID-19 carrier is likely to pass. It
uses "blindfold analytics" that allows
it to create a model from sensitive
data, while restricting private data.

Staqu
Staqu has an AI enabled video
analytics platform called JARVIS. It
is very effective in a pandemic
situation like COVID-19 enabling
face mask identification, social
distancing check, fever detection,
contact tracing and hygiene check.
Courtesy – Staqu
Stratifyd
Stratifyd AI scans social network
and sources such as the National
Institutes of Health, the World
Organization for Animal Health, and
the global microbial identifier
database to identify and predict the
real time updates of the COVID-19.
Traces.AI
"Traces.AI utilizes their AI model to
analyze videos using 2,000 different
attributes of a person. This analysis
helps trace people who have come
in contact with COVID-19 infected.
Courtesy – Traces.AI
Boston Children’s Hospital
Boston Children’s Hospital runs a
website called HealthMap that
utilizes artificial intelligence to scan
social media, news reports, internet
search queries, and other
information streams to gather
information related to the COVID-19
outbreak. Further, it maps the
spread of COVID-19 around the
globe.
Courtesy – Boston Children’s Hospital

2. Diagnosis
BillionToOne
BillionToOne has developed a
qSanger-COVID-19 test that is
highly accurate and cost effective in
diagnosing a COVID-19 test.
Based on Sanger sequencer (a
method of DNA sequencing)
capacity from the Human Genome
project and the proprietary machine
learning algorithm, it unlocks
millions of daily testing capacity
worldwide.
Biobot Analytics
Biobot Analytics has launched a
COVID-19 sewage testing program,
that analyzes viruses, bacteria and
chemical metabolites that are
excreted via urine and stool into the
sewers. Based on the analysis, it
maps the data and helps
communities tackle public health
proactively.
The DAMO Academy
Alibaba's DAMO Academy has
developed an AI-enabled system
that could diagnose COVID-19
patients within 20 seconds, with
96% accuracy. The algorithm has
been trained with data and CT
scans of more than 5,000
coronavirus confirmed cases.
Butterfly Network
Butterfly Network has developed
'Butterfly iQ'- a handheld, AI-
powered ultrasound device that
sends images to a user’s mobile
phone for automated interpretation.
Courtesy – Butterfly Network
Cerebras Systems
Cerebras Systems supercomputer
CS-1 could be used to identify
treatments and drugs for COVID-
19. CS-1 uses its AI and Machine
learning to process massive
datasets in a fraction of time to
identify a suitable drug for the
pandemic.

DarwinAI
DarwinAI has developed AI-based
tool named COVID-Net that is
capable of diagnosing COVID-19
patients by studying X-Rays and CT
scans of the chest. This is an open-
source tool.
The Co-founder and Chief Scientist
of DarwinAI said, “We made model
and data all available open source
and open access on GitHub… This
is the first time where an AI
explainability strategy is leveraged
to give deep insights into the visual
indicators that COVID-Net
leverages to make COVID-19
decisions, which will hopefully help
clinicians in better screening and
trust in the system.”
Infervision
Infervision has developed an AI
solution to identify COVID-19
patients by analyzing CT scans.
Doctors can quickly assess the
volume changes at different density
ranges from the histogram to
determine the progress of the
disease in follow-up studies.
Delft Imaging
Delft Imaging in association with
Thirona has developed the artificial
intelligence software CAD4COVID
that analyzes X-ray images to help
healthcare specialists manage
COVID-19 cases.
Dermalog
Dermalog has developed an AI-
enabled camera that measures
body temperature with outstanding
accuracy and speed even from a
distance of two meters. Since
nearly 90% of those infected are
diagnosed with fever, this system
can be used at restaurants, airports
etc. amid the COVID-19 outbreak.
Courtesy – Dermalog
Intellifusion
Intellifusion has launched an AI-
powered public health solution
which collects facial, temperature,
historical trajectory. It maps this
data of people to identify
symptomatic COVID-19 carriers.

Huawei Cloud
Huawei Cloud has developed an
artificial intelligence (AI) tool that
utilizes medical imaging analysis to
diagnose corona cases. The AI-
assisted diagnosis service can
assess lung structure and
accurately distinguish between
early, advanced and severe stages
of the disease.
Nanox
Nanox has developed a mobile
digital X-ray system that uses AI
cloud-based software to diagnose
infections and help prevent
epidemic outbreaks. This X-ray
system incorporates a vast image
database and assistive artificial
intelligence systems, which
collectively assists for early
diagnosis of COVID-19.
Courtesy – Nanox
NIRAMAI
NIRAMAI has developed
FeverTest, an AI-based solution
that detects fever and COVID-19
respiratory symptoms. It enables
automated screening of people to
detect the likelihood of COVID-19
infected.
Seegene
Seegene has developed a COVID-
19 test kit called Allplex™ 2019-
nCoV Assay. Powered by its
proprietary AI-based data system,
this test kit quickly expands testing
capacity.
Subtle Medical
SubtlePET from Subtle Medical is
an AI-based software solution for
medical imaging that increases the
throughput of the analysis. It has
been playing an important role in

the detection and diagnosis of
COVID-19.
Tempus
Tempus has leveraged its AI
technology to scrutinize its data
library and help physicians make
data-driven decisions when treating
COVID-19 patients. It has
equipped physicians with COVID-
19 PCR diagnostic testing
capabilities.
University of Copenhagen
University of Copenhagen’s AI
models calculate the risk of a
coronavirus patient to determine
whether the patent needs a
ventilator or intensive care.
Vocalis Health
Vocalis Health has developed an AI
model that collects voice samples
of coronavirus patients and healthy
individuals. The data collected
helps correlate the voice with
symptoms of coronavirus. This
enables early detection of via a
smartphone.
Aidoc
Aidoc uses an AI model to analyze
medical images to diagnose
COVID-19 patients.
ZOE
ZOE, in collaboration with
Massachusetts General Hospital,
King’s College London and the
University of Nottingham, has
developed an AI-based model that
determines the likelihood of a
COVID-19 infected person based
on symptoms. The AI model uses
data from the COVID-19 Symptom
Study app.
Diagnostic.AI
Diagnostic.AI utilizes its qPCR
technique to automate the PCR test
for COVID-19 using artificial
intelligence (AI).
Qure.AI
Qure.AI has developed an AI-based
solution called qXR that analyzes
chest X-rays of people to detect
abnormalities in lungs. It also
calculates the risk of COVID-19
infection.
Courtesy – Quer.AI

3. Treatment & Cure
BenevolentAI
BenevolentAI utilizes a digital
storehouse of biomedical
information to identify data that can
be used by researchers to develop
vaccines and drugs. BenevolentAI
has provided studies on Baricitinib
being a potential drug to fight
COVID-19, which is at Stage 3 of
clinical testing.
Deargen
Deargen has used its pre-trained
deep learning-based drug-target
interaction model called Molecule
Transformer-Drug Target
Interaction (MT-DTI) to identify
commercial drugs that can be made
available as a potential drug for
COVID-19 treatment.
Courtesy – Deargen
Deepmind
Deepmind's deep learning solution
– AlphaFold - predicts protein
structures of the Corona virus
accurately, which eventually is
expected to aid the development of
tests and drugs.
Courtesy – DeepMind
Exscientia
Exscientia is using its AI-driven
drug discovery platform to examine
a collection of 15,000 potential
coronavirus disease treatments, in
collaboration with US research
institute Calibr and Diamond Light
Source.
Courtesy – Exscientia

Healx
The Healx AI platform is helping to
identify drug combinations to target
the coronavirus and provide
immunity. Its AI platform, Healnet,
combines detailed biomedical
studies and provides combination
therapies for COVID-19 patients.
Courtesy – Healx
ImmunoPrecise
Using the discovery platforms and
AI capabilities with its partner
EVQLV, ImmunoPrecise is ready
with the PolyTope mAb Therapy
approach. This is expected to aid
the development of the universal
COVID-19 therapy.
Imperial College
Imperial College London, in
collaboration with Vodafone
Foundation, has launched a
Corona-AI research project using
the DreamLab App. This project is
using AI to go scrutinize data and
identify existing drugs that could
help develop vaccines and drugs
for COVID-19.
Insilico
Insilco Medicine has developed a
drug discovery engine that identifies
molecules to develop an effective
treatment against the coronavirus.
Vir Biotechnology
Vir Biotechnology, in collaboration
with GlaxoSmithKline plc (GSK), is
developing solutions for
coronaviruses. This solution will use
CRISPR screening and AI to
identify anti-coronavirus
compounds.
AbCellera
AbCellera is leveraging its
proprietary AI system to identify
antibodies created by the immune
system. This could be essential for
developing the COVID-19 drug.
Tech Mahindra
Tech Mahindra's R&D arm, Maker's
Lab, is conducting AI-based
research to find a potential drug to
fight COVID-19. The research team
has used molecular docking
techniques owing to the high
transmission rate of Covid-19.

4. Prevention &
Assistance
Akara Robotics
As UV sterilization is preferable
over the chemical one, Akara
Robotics has come forward with a
UV Sterilizer robot VIOLET, which
has been clinically proven to kill
bacteria, viruses and other
pathogens. Also, it is effective on
the novel Coronavirus.
Courtesy – Akara Robotics
Antworks
Antworks, in collaboration with
Terradrone, has marked the launch
of the first urban air transportation
channel via drones. These drones
are being deployed in China for
rapid delivery of medical samples
and protection kits to hospitals.
Arone
Arone is deploying its drones to
deliver blood, vaccines and other
medical supplies to areas that are
highly impacted. Autonomous flight
navigation software uses computer
vision and AI for flight planning,
obstacle maneuvering and
detecting when a parcel is
delivered.
Blue Ocean Robotics
Blue Ocean Robotics makes
professional robots. Its subsidiary,
UVD Robots, has developed robots
that disinfects rooms and patients
with via UV sterilization methods,
making it very effective in fighting
against the novel coronavirus.
Courtesy – Blueocean Robotics

Diagnostic Robotics
Diagnostic Robotics has developed
an AI-based platform that provides
continuous updates about the
progress and spread of the virus at
the community level. The company
has also developed a COVID-19
Remote Assessment and
Monitoring tool to help payers and
the government respond to each
other digitally, amid the outbreak.
Elliq
Elliq is an AI-powered solution
especially designed for senior
citizens. It helps them keep track of
their health during the pandemic.
Courtesy – Elliq
Hyro
Hyro has developed a
conversational AI tool, aiming at
clearing misunderstanding about
the global pandemic. This virtual
assistant processes questions
posted by users and delivers
intelligent responses to advance
their understanding, and advises on
the best course of action.
KenSci
KenSci has developed a leading AI-
based RealTime Command Center
and Hospital Capacity Planning tool
for COVID-19 Response. This tool
provides real-time view into hospital
operations, such as bed
management and capacity
planning.
KroniKare
KroniKare is developing an AI-
powered temperature screening
solution named iThermo that
screens and identifies people with
fever symptoms.
Courtesy – KroniKare

Terra Drone
Terra Drone has collaborated with
Antworks to transport medical
samples to hospitals in China via
drones. Further, its drone has been
helping Nur-Sultan’s (Kazakhastan)
police department in patrolling the
city.
ForwardX Robotics
ForwardX Robotics has launched
Robotics-as-a-service as its AI-
enabled Robots in this pandemic
situation. It aims to boost
productivity by automating supply
chains.
Courtesy – ForwardX Robotics
DiyCam
Diycam utilizes AI enabled cameras
to check monitor medical staff and
doctors’ usage of face masks,
gloves and aprons inside ICUs.
5. Research &
Development
Allen institute
A Semantic Scholar team at Allen
Institute has prepared the COVID-
19 Open Research Dataset
(CORD-19). The team has
partnered with leading research
groups to provide CORD-19, a free
resource of more than 128,000
scholarly articles about the novel
coronavirus for use by the global
research community.
Innoplexus
Innoplexus provide its free
Ontosight AI search platform for
relevant to COVID-19 researchers
and public across the world. The
platform provides latest global
information around COVID-19.
Courtesy – Innoplexus

6. PATH AHEAD
In these uncertain times, when we
are still researching to find the
appropriate drug or vaccine,
artificial intelligence is playing a
dynamic role in researching a path
towards recovery.
Researchers embraced the
potential of using AI to come up
with innovations that can support
the global population to fight
against the pandemic situation
caused by COVID-19.
Artificial Intelligence has helped
researchers across the globe
expedite and streamline the overall
process involved in drug designing
and development of vaccines to
combat/ handle Covid-19.
As on date (please mention the
date of study), we have 17 vaccine
candidates, as published by the
WHO in July 2020.
In addition, supportive therapies
with Fabiflu and Remdesivir are
ensuring a high recovery rate and
an overall decrease in mortality
rate.

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companies around the discussed solutions, please write to us at
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Artificial intelligence to fight against covid19

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