“ AI is expected to vastly change the landscape of job opportunities in counts of millions, especially the jobs that require automation and are repetitive are expected to be replaced by AI remarkably by 2030. AI adoption by industry is increasing demand for other kinds of jobs, such as the demand for STEM based jobs is expected to grow by 23 % by 2030 due to AI.”

Table Of Content
1.	Introduction
2.	Bioinformatics and BioJava
3.	Recent trends in Bioinformatics
4.	FAQs

Introduction

AI is expected to vastly change the landscape of job opportunities in counts of millions, especially the jobs that require automation and are repetitive are expected to be replaced by AI remarkably by 2030. AI adoption by industry is increasing demand for other kinds of jobs, such as the demand for STEM based jobs is expected to grow by 23 % by 2030 due to AI.

Java developer skills are employed for managing Big Data. Most sectors have adopted Big Data technologies and these include industries of Ecommerce, Financial Institutions, and Healthcare among others. Today let us explore here about a specific domain called Bioinformatics and role of Java towards its growth.

Bio Informatics and Bio Java

Bio Informatics is a specific field within Data Science that deals with managing Big Data for sectors related to biotechnology and medicine. Computational biology experts have found Java to be the most suitable language for their purposes, and a separate library called BioJava library has been developed that comprises vast assortment of bioinformatics tools for handling large data like 3 D protein structures, DNA and protein sequences and automating several processes. The preference for Java in computational biology field over other programming languages is due to the following features of Java:

• Java programs can be compiled into byte codes.
• Compiled Java codes can run on any Java system without recompilation.
• Java is highly organized and hence suitable for bioinformatics novices.
• Java may lack flexibility of Python or Perl but has better speed and ubiquity.
• Java byte codes and can be executed on any program that runs on JVM

Recent Trends in Bioinformatics

Bioinformatics serves vastly information processing requirements in the medicine and R&D sector. Let us look into developments of three related industries that depend upon Bioinformatics.

• Cellular Agriculture

Cellular agriculture invention is primarily based on stem cell research; it is concerned with producing agricultural, farm and dairy products in labs using cell cultures by applying tools and techniques of biotechnology, tissue engineering, molecular biology and synthetic biology. Cellular agriculture methods can now produce proteins, fats and 3D tissue structures, that would otherwise have to be procured from traditional agriculture and farming means. The industry is now mostly focused on production of animal based products like meat, milk and eggs. The concept of cellular agriculture appeals to consumers who prefer to consume meat products that are obtained without animal slaughter. As of present cellular agriculture firms are successfully making products like meat, dairy, leather, wood, eggs, coffee, gelatin, silk, horse shoe crab blood, marine feed, animals and pets feed, silk and other products.

Food production, transport, storage and consumption have being undergoing global transformation with the onset of Industry era 4.0. One of the growing trends is a transition towards cellular agriculture, a method of sustainable food production. Features and tools of computational biology and machine learning are being applied in cellular agriculture in the following manner:

• Machine learning techniques are being applied to develop serum-free growth media
• Optimization and modeling of bioprocesses using computational biology
• Use of artificial intelligence in cellular agriculture processes
• Designing of scaffolds through computational modeling
• 3D printing of lab grown animal products
• Cellular agriculture processes control and automation
• Knowledge of precision fermentation using systems biology approaches
• Cellular agriculture technologies development by multi-omics approaches
• Development of hardware for cellular agriculture (as in Biological computers comprising DNA, RNA and proteins)

Global Cellular Agriculture Market

The global cellular agricultural market is projected to reach USD 515.24 billion mark by 2030 with a CAGR of 16.2%. The largest market of cellular agriculture is Asia Pacific whereas the fastest growing market is North America.

Key players in cellular agriculture industry:

USA: DuPont, ADM, Ingredion Inc., PURIS, Cargill, Axion Foods, Batory Foods, The Green Labs LLC
Canada: A&B Ingredients
Europe: Kerry Group (Ireland), Roquette Fveres (France), Sotexpro SA (France), Crespel and Deiters (Germany), All Organic Treasures GMBH (Germany), Ben (Germany)
Asia: Sonic Biochem Ltd. (india), Wilmar International Ltd. (Singapore), The Nisshin Oillio Group Ltd. (Japan), Shandong Jianyam Group (China), ET Chem (China)

• Biological Computers

Biological computers also called DNA computers are microcomputers that can be implanted in the human body, designed for use in the health care sectors. DNA computers are used for monitoring body activities and for rendering therapy. These microcomputers can perform mathematical calculations with the help of which researchers can construct a system of bio sensors for detecting or targeting specific types of cells like cancer cells. There are four main components of bio computers that include the hardware, software, input and output and these components are made of DNA, RNA and proteins. The market for Bio computers is evincing growth all over the world due to rise in number of people with cancer and chronic illnesses. Applications of DNA computers are majorly in the field of oncology, molecular modeling, genetics and nano biotechnology. Prime users of bio computer technologies include industries like Pharmaceutical companies, Biotechnology companies, Research Centers, Healthcare IT companies and Hospitals and Clinics

Leading Global Players in Bio Computers Industry:

The global market for biological computers is projected to reach 5,480 million USD by 2030 with a CAGR of 22.6% in the forecast period 2022-2030. The greatest growth rate in Bio Computers market is expected to be in Asia Pacific region with India, China and Japan being the major contributors due to increase of population in the geriatric age group and with chronic illnesses like cancer, obesity , diabetes etc.

Key global players in Bio computers industry include Microsoft, IBM, Thermofisher Scientific, Illumina Inc.,IndieBio, Emulate Inc. Key players in DNA and chips industry include Sequenom Inc, Merck KGaA, Macrrogen Corporation, Bioneer Corporation, Biometric Technology Inc, Wafergen Biosystems Inc.and Eurofins Genomics India Pvt. Ltd. (India).

• Organoids and Organoid Intelligence

Development in stem cell research has enabled scientists to grow animal and plant tissues in the lab. Organoids are lab grown cells and tissues that resemble an organ. Organoid intelligence is intelligence of brain developed in labs and as per the experts can overpower artificial intelligence. While the neural networks in artificial intelligence is made of inorganic material, the neural networks in Organoid intelligence is made of organic brain tissue matter. The benefit of organic intelligence is that stem cells can grow on own from a single cell, however being made of organic matter their perishability poses a challenge. While the objective of AI research is to make machines think like humans, the aim of Organoid intelligence research is to make human brain grown in a petri dish work like AI and that is essentially to match the AI speed parameter. As per the experts, Bio computers equipped with Organoid intelligence and hybrid Organoid and In-Organoid intelligent devices can usher in an entirely new kind of intelligence which can surpass Artificial Intelligence capabilities in all parameters.

Leading Global Players in Organoid Industry

At present the Organoid Intelligence sector is under research, however reports from the R&D are promising and Organoid intelligence is expected to have vast implications for health care sector, especially in the cure and management of chronic illnesses as OI when paired with bio computers can enormously impact the latter’s computational power.

Organoids have been increasingly been adopted in the process of drug development, especially in pandemic and post pandemic era. Organoids are useful in drug development due to similarity with actual organs, cell tropism and cell viability. Increase in number of population with chronic diseases like cardiovascular and chronic kidney diseases and cancer are key factors that are driving the demand for Organoids and Organoids research. During the period of 2018-2028, the Organoids sector is expected to register a growth of CAGR 17.1%, Asia Pacific is the region which is projected to evince highest growth rate in Organoids. Global Market leaders in Organoids sector include Merck kGaA, Cellesce Ltd., 3Dnamics Inc, R&D Systems Inc and Huberecht Organoid Technology.

Role of Java in development of Organoid Intelligence

Organoid intelligence utilizes bioinformatics tools and as such Java supposedly has a preference in this emerging technology field. Moreover, Java is a popular choice in training neural networks in AI machine learning projects and Organoid intelligence also involves training of neural networks, hence Java undoubtedly can be a preferred development language for this field.

FAQs

1. Why is Organoid Intelligence a multi-disciplinary field?

Ans:-Organoid intelligence like cellular agriculture is dependent on Industry 4.0 tools and techniques including Machine learning, AI, Bioinformatics and others. Hence it is considered a multidisciplinary field.

2. What domain knowledge is required to get a job in Bio informatics sector?

Ans:-Java certified professionals have good scope in Bio informatics sector, especially for Big Data management. Knowledge of basic industrial biology and latest developments in the sector also counts.

3. Is it necessary to know Java to become a Bioinformatics specialist?

4. Which industries typically employ Bioinformatics specialists?

Ans:-Bioinformatics specialists are in demand in Healthcare, Biotechnology, Medicine, Pharma, Industrial biology, Cellular Agriculture, Organoids industry, Bio Computers industry, R&D, and other related sectors.