Facial Recognition by Implementing Artificial Neural Network Algorithm

It is a technology capable of comparing  a human face from a digital image and video frame against the collected database of different faces. It helps in authenticating personnel identification through ID verification services by measuring facial features with the provided image. A computer application is widely used in smartphones and robotics  nowadays. Biometrics is the best example of this type of facial recognition system but is not so accurate as compared to iris recognition and fingerprint recognition, Voice recognition, digitization of veins in the palm and behavioural measurements but is widely accepted because of the contactless process. This system is used in human computer interaction, law enforcement agencies, indexing of images, and video surveillance  

Background of the Technology :

If we dig deep down in history the discovery was started in the 1960s by Charles Bisson and he named his project “man-machine”. Later in 1970, Takeo Kanade invented a face matching system that locates anatomical features like chin and calculates the distance ratio. In 1993, Defense Advanced Research Project Agency (DARPA) and Army Research Laboratory (ARL) invented a program FERET to assist with intelligence security. The Department of Motor Vehicles (DMV) used the first automated facial recognition system for photo identification in driving licence.

Facial Recognition By AI
Facial Recognition By AI

Methods used for face recognitions :

It is such a challenging task to identify a human face with the help of 3D and 2D images. Some algorithms are used to detect facial marks or features like relative position, shape, size of nose, eyes, cheeks and jaws.

  • Traditional Algorithm approach
  • Human Identification at a distance
  • 3D Recognition
  • Thermal Cameras

Facial marks are used for facial recognition systems with some implementations in convolutional neural network architecture (CNN) systems with more accuracy.  They are combined with FaceNet facial recognition system in order to seek better performance. There are few common approaches to capture, analyse and compare patterns based on a person’s facial details. Identification and authentication are the two common keywords for facial recognition.

Facial Emotion Recognition (FER)

It is used for mapping expressions to detect emotions such as joy, surprise, fear, anger, sadness with the help of image processing software.

  • Face Detection
  • Face Capture
  • Face Match

Facial Biometrics, 2D, 3D sensor captures the face and transforms into digital data by using an algorithm for comparing images with database images. These automated systems can be used to identify a person quickly even in a crowd within a dynamic environment. All the top notch software companies are regularly working on AI, image recognition and face recognition. Some of the big faces are :

  • Academia
  • Facebook
  • Google
  • Amazon
  • Microsoft
  • IBM
  • Megvii

Facial expression can be detected by artificial neural network algorithms. It generates a great revenue globally with an estimation of $3.2 billion. The most significant vendor for facial recognition include :

  • Aware
  • BioID
  • Certibio
  • Nuance
  • Idemia
  • Leidos
  • M2SYS
  • NEC
  • Fulcrum Biometrics
  • Thales
  • Phonexia
  • Smilepass
  • HYPR
  • Fujitsu

Telemedicine in Healthcare Sector

It is a medicine practice by implementing technology also known as telehealth or e-medicine which provide healthcare services, care, advice, exams, reminders, interventions, monitoring, remote admissions and consultations. It results in evaluating, treating and diagnosing a patient at a distant place. It offers an opportunity to the doctors or physicians to treat them anywhere by using computers and software. It is very useful in benefiting both healthcare personnel and patients.

Telemedicines are of three types :

  • Remote Monitoring
  • Store and Forward
  • Real Time Interactive Services

How does it Work :

To gain a better long term patient satisfaction and care management system we need telemedicine healthcare services to locate health information and communicate with healthcare professionals. If anyone needs health assistance through telemedicine they need to fix an appointment at the same cost as an in person visit. It is costlier to maintain and set up the service for smaller healthcare providers. By entering a few basic background details online with contact details you can get yourself registered for a session with a doctor.

Telemedicine in Healthcare
Telemedicine in Healthcare

Procedure to get yourself register :

  • Choose Your Plan
  • Fill the form
  • Questions for Patient
  • Involvement of staff
  • Need to know about coverage
  • Use of telemedicine
  • Should Know the regulations

To prevent Covid 19 spread, flu and other infectious diseases, telemedicine is the best way to keep the people safe. It can be applied to psychotherapy and teledermatology. It is a two way process of communication and can be done through video conferencing and phone consultations in real time from anywhere and anytime.

Services offered by Telemedicine :

  • Transmission of Image
  • Medical Report
  • Patient Consultation
  • Medical Education
  • e-Health Patient Monitoring
  • Health Wireless Applications
  • Video Conferencing

In order to get this service you need to be technically skilled with an insurance facility so that you can make an appointment and describe your symptoms to the doctor. In a recent survey, it is revealed that telemedicine is a good aspect in keeping the care. It is although not very impactful in physical examinations in crucial cases. 

Categories of Telemedicines :

  • Telementoring
  • Teleconsultation
  • Telemonitoring

Steps involved in Virtual Visit :

  • Click on the link in an email provided by the hospital patient portal
  • Install the video software that your doctor uses
  • Allow access for audio and video

CPT and HCPCS codes are applicable to billed this service for patient virtual consent check in. 95 modifier is a synchronous telemedicine service that works on real time interactive audio and video telecommunication systems.

ML Prediction of Breast Cancer Survival

Cancer is a process of abnormal cell growth which loses contact inhibition and cease proliferation and growth of normal cells when contacting each other. The old cells of the body grow out of control and do not die resulting in abnormal growth of cells forming a mass of tissue called Tumor while leukemia do not form tumors. Lung and prostate cancer is the deadliest cancer with the highest death rates. Pancreatic cancer is a silent killer.

Major Types of Cancer :

  • Leukemia
  • Sarcoma
  • Carcinoma
  • Melanoma
  • Lymphoma

Cancer are of various types depending upon the tissues and the organs they are infecting. Breast cancer is commonly seen in women and the symptoms are lumps, thickening and swelling of part of breast, redness or flaky skin, bloody discharge from nipple and irregular shape of breast. It can be treated by radiation, chemotherapy, hormone therapy and surgery based on the stage of cancer. 

Machine Learning Algorithm in Cancer Prediction
Machine Learning Algorithm in Cancer Prediction

Symptoms of cancer :

  • Hoarseness or Nagging cough
  • Change in Bowel 
  • Persistent lumps or swollen glands
  • Blood in Urine
  • Indigestion or difficulty in swallowing
  • Unexpected vaginal bleeding or discharge
  • Blood in stool 
  • Underweight loss, fever, night sweats
  • Continued itching in genital area

How does it occurs :

When normal breast cells begin to grow abnormally than healthy cells do, forming a lump or mass can easily spread to other parts of the body through lymph nodes. Through the ACS report the lumps can be easily seen. The division process may involve 28th to 30th cell division cycles to get detected. In malignant cancer the use of logistic regression machine learning technique has been implemented to detect the tumorous cells.

ML can be used to predict breast cancer in clinical practices with low to high accuracy. ML suggests an alternative prediction modelling approach to address the current situations and to improve the limitations. In order to predict the tumor cells deep learning techniques have been used with various activation functions like :

  • Tanh
  • Maxout
  • Exprectifier
  • Rectifier

SVM technique is suitable to identify the type of cancer if it is malignant or beginning based on tumor cell size. It is a branch of data science that uses an algorithm to sequence statistical data in a programmed manner.

ML Methods for automatic diagnosis of cancer

  • Novel Methods for image classification / segmentation
  • ML based Models for detection / prediction
  • Cancer image analysis
  • Data generation for cancer diagnosis
  • Mobile applications for detection / prediction

AI can be used in cancer predicting processes by applying various fields like ML, Neural networks, Evolutionary Computation, Vision, Speech Processing, Expert Systems, Natural Language Processing, Robotics and Planning. We can detect breast cancer through screening tests like mammograms, like an X-ray to detect cancer up to two years.

Cancer Survival Rate in Breast Cancer :

The average survival rate with non metastatic Invasive breast cancer is 90% (5-year Survival rate)
The average survival rate with non metastatic Invasive breast cancer is 84% (10-year Survival rate)
The average survival rate with non metastatic breast cancer is 99% (5-year Survival rate)

Promote Your Brand by Online Digital Marketing

It is a marketing component which uses internet and digital appliances like computers, mobile phones and other services to promote. Digital marketing is a process of product promotion using electronics gadgets.  It uses multiple technologies and channels that impart an access to an organization to analyze content, strategy and campaigns. It is a process to connect with customers through digital media. SEO is a marketing tool that will contribute in order to attain a highest possible ranking of a web page or website. Content, user engagement and inbound links are the prerequisites for digital marketing.

Parts of digital Marketing :

  • SMM
  • SEM
  • SEO
  • Content Marketing
  • Marketing Automation
  • Email Marketing
  • Digital Advertising
Online Digital Marketing
Online Digital Marketing

Procedure to follow in Digital Marketing :

  • Online Presence is must
  • Latest trends should be known
  • Creativity use
  • Connect with peoples
  • Acquire Knowledge about Analytics
  • Count on Experience

Philip Kotler, an American professor is known as the father of digital marketing and has penned 60 marketing books so far. We do marketing of a person, business or service by exploring social media, SEO, PPC and email. It is the most demanding skill of today’s world.  There are three types of digital media – Owned Media, Paid Media and Earned Media. You can opt for Digital marketing as your career as the demand is quite high with the specialization in skills like SEO and SEM. Digital media is to help gather information from our friends and families in an easier and efficient way.

Examples of Digital Media :

  • Software
  • Digital Video
  • Websites
  • Digital Data
  • Digital Images
  • Web Pages
  • Databases
  • Video Games
  • Social Media
  • Digital Audio (MP3)
  • Electronic Books
  • Electronics Documents

Role of Digital Marketing :

It helps to grow your business by creating huge traffic, leads generation and sales people concerned with following people who are looking for your products and services. We can easily reach a cost effective targeted audience. Pradeep chopra, Harsh Agarwal, Sorav Jain and Jitendra Vaswani are top five digital marketers in India to be followed

Google Ads are the famous types of digital marketing that will help to grow small businesses or startups. It is organized in the PPC model and it simply means you need to pay for each page per click. Digital Marketing is a combination that will revolve around 5Ds :

  • Digital Platform
  • Digital Device
  • Digital Data
  • Digital Media
  • Digital Technology

If you want to be a digital marketer you need to invest your precious 9-12 hours on a daily basis. As it is a lucrative domain and there is an immense scope of growth especially in content writing and SEO by adapting latest changes accordingly.

Online Promotions of Brand :

  • Method of promoting brand by publishing forum, blogs, articles, news, spreading links and advertising among target audience.
  • Top ranking can be achieved by sharing and creating audios, videos and pictures
  • By putting promotional offers, branded text, multimedia content as per customers need

Start Your Business Through E-Commerce Platform

Business and technology are complementary to each other in terms of growth. With Business comes growth and with technology comes E-commerce platform. It is the right time to start an Ecommerce business as a new wave in an online business platform. The very basic step is to select the marketplace and the business idea for your online business. Choose a brand new name for your business which is so unique in itself. By registering your business, build a website from scratch to the finish line with the help of customized platforms like :

  • Magento
  • WooCommerce
  • 3DCart
  • Prestashop
  • Shopify
  • Wix
  • Zepo 
  • Weebly
  • Big Cartel
  • Squarespace
  • BigCommerce
  • Volusion

What is an online Business platform?

It is a software application that provides access to manage website, operations, sales and marketing on online platforms. In order to show your presence online you need to be a part of Ecommerce platform by taking certain parameters such as ideas, action, target, marketing plan, research, strategy and teamwork. Shopify is one of the most popular ecommerce platforms for online business. It is an open source with customizable tools which helps in SEO.

Types of Ecommerce :

  • Business to Business
  • Business to Consumer
  • Consumer to Consumer

Online platform will serve you a platform to manage an online store and inventory through a software application that will accept and process payment. All you need is a website, applications with social networks that will help you to sell and to advertise.

Business Through E-Commerce Platform
Business Through E-Commerce Platform

Best Online Learning Platforms are :

  • Skillshare
  • Treehouse
  • LinkedIn Learning
  • Udemy
  • Shaw Academy
  • Coursera

If we talk about an easily manageable online platform, one name comes into picture is Wix, which is easier to create and allow freedom while shopify allows better sales tools, more scalable, flexible. The choice of an ecommerce platform wholly depends upon your business idea, budget and goals. 

Which country has the biggest ecommerce market ?

China has captured the world’s biggest ecommerce market and is one of the fastest growing ecommerce marketer by leading subsidiaries named as Alibaba.com, Taobao and Tmall etc. 

Some Examples of Digital Platforms :

The Internet is the key to connect multiple small networks in different fields. All the information and communication related to Online Platform is flowing through internet all over the globe

Service Oriented Platforms

  • GrubHub
  • Airbnb
  • Uber

Social Media Platform

  • Facebook,
  • Twitter
  • Instagram
  • LinkedIn

Knowledge Sharing Platform

  • Quora
  • Yahoo! Answers
  • StackOverflow

Media Sharing Platform

  • YouTube
  • Vimeo
  • Spotify

Some of you thought that to start an online business we would require money but it is not completely true. There are many internet free services which facilitate online business. We  would require some skills for an ecommerce platform like Excel Skills, Critical Thinking, Software, SEO, Data Analytics and AI, Technical and programming skills.

How are bioinformatics and IT Innovations related to each other?

Currently we are experiencing a rapid growth in the Bioinformatics field due to the involvement of multi disciplines as chemistry, informatics, statistics, biochemistry, mathematics, physics, and linguistics. Bioinformatics is the interpretation of the biological data through computer analysis which is used to collect, classify, store the biological information applied to molecular genetics. Bioinformatics is using IT applications to gather bio-medicine data and transform it into different forms. David Lipman, director of NCBI is known as the father of bioinformatics. Bioinformatics is growing gradually with a rapid pace in three directions :

  • Management of biological data
  • Analysis of biological data
  • Modelling of biological data

Whole genome sequencing data is to be analyzed through bioinformatics which includes software development, algorithms, pipeline analysis and database storage etc. It gives structural and functional analysis to facilitate biological processes like :

  • Phylogeny
  • Drug Designing
  • Vaccines
  • Identification of organisms
  • Automatic Genome Sequencing
  • Gene identification
  • Gene function
  • Analysis of protein structure

IT Applications in Bioinformatics
IT Applications in Bioinformatics

Bioinformatics is an application that uses computer science to solve the challenges in medicine and biology. It is helpful in the lock and key hypothesis where a drug molecule binds with a protein. You can prefer the USA, UK, Germany and France for their best bioinformatics applications. To be the Bioinformatician you need to acquire the following skills :

  • Programming Skills
  • Statistical Skills
  • Bioinformatics Skills
  • Knowledge of Molecular Biology
  • Fundamental Knowledge of Genomics and Genetics
  • Database Management
  • Data MIning
  • Machine Learning
  • General Skills

Relation between bioinformatics and programming languages:

If you want to be a successful Bioinformatician you need to explore Programming in R, Python, Linux, statistics and data science. Python is frequently used as a high level programming language in Bioinformatics

  • Perl
  • JavaScript
  • Python
  • SQL
  • Ruby
  • PHP

Software tools involved in Bioinformatics :

In order to discover novel genes we use certain bioinformatics tools for the collection and annotation of genomic data for sequencing. Here are a few software tools used in the sequencing process. The sequencing is done based on the background of metagenomic assembly, phylogenetic analysis and metagene prediction. There are various tools involved for this purpose like BLAST, FASTA and Ensembl

  • NetSurfP – Prediction of protein surface and secondary structures
  • NetTurnP – Predict B-turn regions in protein Sequence
  • MODELLER – Used for modelling 3-D structure of protein in comparative and homology studies
  • AutoDock – Used as automated docking tools
  • Gromacs – Designed for protein and lipids
  • OrfPredictor – Used to predict cDNA sequences and ORF prediction

Popular Linux OS distributions

  • Ubuntu
  • Gentoo Linux
  • Fedora
  • BioLinux

With the help of computerized software in bioinformatics we are all set to design computational algorithms which help us to update and retrieve components data stored in biological database systems. For accelerating research in the area of biotechnology there are a number of applications available nowadays.

Importance of IT Technology in various Disciplines

Technology is an application of scientific knowledge and innovations that results in processing aims and objectives in human life. To be a part of the bigger picture first thing comes in is its importance in the current context. Recent innovations in the IT field have transformed many sectors of our society and play an important role in connecting peoples, business partners and employees by various means like social media or through smart gadgets or applications. There is a drastic change in the mode of communication, in exchange of information, in exploring business and involvement of government agencies.

Use of IT Applications in Various fields :

  • Education
  • Healthcare
  • Finance
  • Business
  • Security
  • Employment
  • Communication

The recent technological innovations are catering a way to emerge in terms of economy and competitiveness which give easy access to improve local and global economy. In the current pandemic, IT Technology has proven advantageous in terms of education. Now students can fetch the details and submit the assignments to the professors without any physical interactions. Professional skills, change and innovation, strengthening decision making skills and cognitive skills are the effective roles in the developmental process. We can easily improve the standards of technological development by receiving feedback in real time.

IT in different disciplines
IT in different disciplines

Various disciplines involving IT Sectors:

  • Software Development
  • Web Designing
  • Application Development
  • Cyber Security
  • Data Management
  • Network Administration

Information systems use hardware, software and business processes to create, collect, process and distribute data in order to ensure planning, management, operations and decision making. Every business depends on production and productivity by allowing faster communication, electronic storage and documentation.

Major components of IT Technology :

  • Human resources and procedures
  • Hardware
  • Software
  • Telecommunications
  • Databases and data warehouses

There are so many countries that depend upon technology for their economies and to explore positive cultural changes like South Korea, Germany, Singapore and Switzerland etc. With the use of Technology our lives have changed drastically with learning to leisure, wealth to health, from ministries to classrooms for the best results.

Advantages of Technology in human lives :

  • Ease Mobility
  • Saves Time
  • Easier access to data
  • Efficient Communication
  • Cost Efficacy
  • Improved learning Techniques
  • Applications in Multi Disciplines

Every organizations need to follow certain steps in an Information System in order to set components that will collect, process, store the information

Types of Information Systems :

  • Management Information System
  • Transaction Processing Systems
  • Executive Support Systems
  • Decision- Support Systems

With the help of IT Innovations we can access any data anywhere without any boundations which is fruitful in productivity. There is a boom in IT sector for IT professionals to work as computer Engineer, Business analyst, software and hardware developer etc

Roles and Responsibilities in the field of IT in 2021 :

  • Network Administrator
  • System Administrator
  • Data Scientist
  • System Analysts
  • IT Manager
  • Database Administrator
  • Database Developer
  • Software Engineer, Tester and Architect
  • Network Engineer
  • Technical Consultant

In terms of career there are many possibilities in the IT sector as this relates to different disciplines as mentioned above with their role and scope in the modern era.

Latest Scientific and Medical Advances Through Software

Today, we are here to let you know about the relation of IT Technologies with modern diagnostics. When we proceed with the data collection and extraction process we would require certain software’s applications to manage the data provided by automated systems and help physicians and biologists to come up with a conclusion.

In the current context, IT applications are exploring different disciplines in healthcare world are :

  • Bioinformatics
  • Applied Mathematics
  • Computer Programmers

Two major roles of IT APPLICATIONS :

1. Continuously updating software applications through developmental and improvement processes.

2. Play a crucial role as a scientist by acquiring the knowledge of computer and bio-statistics for research and development laboratories.

By implementing and integrating innovative technologies in the field of microbiology will lead to the future expertise of microbial laboratories. In order to achieve and ensure improvement we need user friendly systems that result in developing original and innovative graphic interfaces.

Scientific and Medical Advances
Scientific and Medical Advances

Ongoing Medical and Scientific Advances :

The basic part of scientific and medical work on any agenda is to collect information and an urge to enhance the software expertise with a constantly evolving and adaptive resistance to antibiotics. BioMerieux took 20 years to become an expert system available for the Medical Community. These Expert Systems analyse bacterial susceptibility to antibiotics and update the same with new data on a daily basis.

In the Software development process there is a vast amount of data to be managed as per the exploratory research which would require large data storage capacities along with the expertise in Bioinformatics and Mathematical Analysis. 

Exploring Software Technologies in Multidisciplinary Field :

Clinical Field – STELLAR Software is a system designed to support clinical decision making and able to provide patient’s results in real time through mobile App.

Pharmaceutical Field – BioMerieux proposed MIMS Software to identify microbes which are proven efficient in environmental control systems in large production areas.

Agriculture and Food Sector – BioMerieux created BCI-Net, which allows data to be exchanged within Laboratory Information Management Systems like VIDAS (detect the pathogenic agents) and TEMPO (provide quality indicators)

Latest medical Technologies in 2021 :

  • Data-Driven Healthcare
  • Tricorders
  • Virtual Reality
  • Nanomedicine
  • Next Generation Sequencing
  • Immunotherapy
  • Smarter Pacemakers
  • New Methods of Drug Development
  • 3D Printed Devices 
  • 5G ZEnabled Devices
  • Biosensors and Trackers

With the recent innovations and advanced tools the physicians or scientists are able to predict the behaviour of drugs and are helpful in reducing toxic side effects and increasing benefit. These transformations have enhanced the experience of healthcare professionals with their patients. In the upcoming 5 years, due to AR and VR Technology in science we all will see a revolution in the healthcare sector. In the recent future we are looking after bionic eyes, selfie diagnosis and brain implants that will change the entire healthcare sector as a crucial part.

Competitors in the Healthcare sector :

  • Stryker’s
  • Johnson and Johnson
  • Medtronic
  • GE Healthcare
  • Royal Philips
  • Siemens Healthineers
  • EssilorLuxottica

Technology is impactful to store, analyze and share information related to healthcare sectors and enhance the capabilities criteria in saving life and patient access.

Relation between Machine Learning and Microorganism

We all are well versed with the current epidemic of covid 19 which is resulting very fatal due to involvement of microorganism. For millions of years, we have been living with microorganisms and have faced serious consequences from time to time but this situation is getting worse as it is affecting the mass population and resulting in the death of human beings. It is a very challenging time for all of us. The only way to be safe is to create awareness among our society, especially those who are unaware of the word “microorganisms”. 

Machine Learning and Microorganism Inter-dependency

Microorganisms are of various types : 

  • Bacteria
  • Virus
  • Fungus
  • Algae

In order to sequence a particular genome we would require machine learning methods to manage increasing amounts of data while doing microbial analyses. Machine learning Algorithms can easily tackle interaction problems and help in microbial classification. Nowadays we are using Machine Learning for research, drug designing, identification of non coding RNA and disease related microRNA. 

Machine Learning may involves :

  • Statistics
  • Probability Theory
  • Estimation Theory
  • Algorithm Complexity Theory
  • Convex Analysis

Machine Learning methods are of two types:

1. Supervised Learning involves statistical classification and regression analysis.

2. UnSupervised Learning involves clustering and adopts k-means.

Procedures involved in Data Sampling :

First step is to collect genomic data of microorganisms and after the identification process a data matrix is being prepared. Secondly by clustering we can obtain an operational classification units table (OTU). Thirdly we will check the efficiency and accuracy of the dataset. Fourthly, a test set is used to evaluate the final machine learning model.

We use machine learning to study microbial disease association and analysis by proposing Human Disease Network (HSDN) in which disease and symptoms can be calculated based on the recorded PubMed bibliographic records. Similarly, the KATZ method has been used for disease gene association prediction.

Availability of Fungus in our surroundings :

Fungus usually grows in humid places such as soil, plants and decaying vegetables, fruits, anything which is moist in nature and is freely available in the form of molds and spores in our atmosphere. Usually microorganisms play an important role in maintaining the ecosystem balance by feeding on decaying matter.

Current havoc created by Fungus :

In the current context, We are dealing with Black Fungus known as Mucormycosis resulting in blurred vision, chest congestion, coughing blood and breathing difficulties especially with a weak immune system. It is commonly present in the atmosphere and we can easily inhale it with the oxygen we take but to fight against them our immune system is to be fully responsive. Fungus can easily escape our skin through cut or burn and can be fatal if left untreated. It can be cured by Antifungal drugs AMPHO B and is not contagious. It is also present in the nose and mucus so by wearing masks we can prevent this condition. The masks should be exchanged from time to time to keep yourself fit and healthy. 

Fatality Issues occured due to Infectious and Pathogenic Microorganisms :

Similar to corona virus it will affect our eyes, lungs, brain, sinuses, intestine and can be life threatening especially to diabetic, cancer and HIV/AIDS patients. The people with low immunity due to overuse of steroids are badly affected with black fungus, white fungus and yellow fungus. Steroids can reduce inflammation in the lungs by reducing immunity which triggers the infection in humans. The fungus is affecting humans due to the weak immune response of the body. They enter the body and start proliferating and develop their colonies to affect the human body organ.

Data Management of Covid-19 by applying AI and Machine Learning Algorithm

Covid-19 pandemic is a globally challenging hurdle and also very difficult for researchers to carry out the experiments which require Biosafety Level 3 Laboratories and to avoid this situation the researchers are doing their research without even using live and intact viruses . For this the researchers have chosen a transgenic mouse model for their study on SARS-Cov-2 Spike protein. In the recent studies done on mice it is revealed that the exposure of SARS-CoV-2 spike protein is the only cause to induce symptoms of Covid-19 without the involvement of Covid strain itself. Virus Spike proteins combine with our cell receptors to synthesise it’s genetic materials and cause injury in the healthy lungs without the involvement of Intact virus.


AI has been used for controlling so many disease outbreaks in the past and is widely used as follows :

  • To identify disease clusters
  • For predicting future Outbreak
  • Monitoring Cases
  • Mortality rates
  • Diagnosis by Resource Management
  • Facilitate Training
  • Record Keeping
  • Pattern Recognition for Disease Study
Use of AI and Machine Learning in Covid-19 Diagnosis
Use of AI and Machine Learning in Covid-19 Diagnosis

Use of AI in Disease Forecasting:


AI is used to gather useful information through various Social Media platforms so as to create early awareness. We can easily retrieve the geographical location of any disease outbreak by using machine learning along with available data. So many Health Applications are available to track the recent spread of Covid-19


Use of AI in Disease Diagnosis :


It is widely used in quantification of chest x-rays and CT scan in Covid-19 patient. A deep learning neural network model for Covid detection has been developed for differentiating Covid from other infectious diseases. COVID-ResNet and COVID_MTNet are the two types of systems used for detection, localization and Inception of regions of interest.


AI is successful in Record Keeping :


It allows practitioners and healthcare staff to implement a digitization approach which offers efficient solutions to the patients with minimal contact to them. We can easily distinguish patients who are at higher risks on the basis of severity( mild, moderate and severe) of symptoms, clinical report. AI is used for medical consultation online in the form of chatbot in order to reduce crowds and maintain social distance so as to prevent spread of infection. Similarly machine learning is used to predict the mortality rate among patients by using prognostic algorithms. AI core robots are also used for the delivery of essential goods.


Algorithms and Programmes used to Design Drugs :


AlphaFold algorithm (ResNets) is used for detecting protein structures of SARS-CoV-2 which help in drug designing programs. BenevolentAI uses machine learning algorithms to identify potential drugs against Covid-19. Similarly, numerous AI-based methodologies like inclProject IDentif.AI, Polypharm are successfully expediting drug discovery and designing for Covid-19.


Other Models used to investigate effectiveness of drugs :


The genetically modified mice got injected with spike protein and the other set of mice was injected by saline control. It is proven that the mice injected with spike protein contain symptoms like inflammation which will damage the lung, a high white blood cell count to stimulate autoimmune response to destroy the infection caused by its own cells due to spike protein along with the virus while the mouse with saline remains normal.


The researchers are more concerned and focused on this new mouse model investigation in order to check the effectiveness of various drugs that can be used to reduce acute lung injury along with COVID-19 in a better way. The remedies to this Covid strain will only be effective if we have a vast knowledge of the mechanism of this virus.