Flexible circuits or flex circuits and their more recent version flexible electronics have come a long way now. They have been extensively used in some form or the other in applications including electronics, retail, healthcare, and automotive. More commonly, flexible electronics and circuits are forming a part of flexible displays and sensors. All this underscores the vast revenue potential in the flexible electronics and circuits market. The growing penetration of flexible circuits in electronic circuit boards industry is propelled by some remarkable advances in flexible circuit fabrication methods. Flexible circuits are characterized by the use of flexible plastic substrates onto which electronic devices are mounted. Alternatively, flexible electronics is realized by screen printing silver circuits on polyester.
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Growing Demand from End User Industries
Various ways of manufacturing flex circuits have emerged, more commonly photolithographic technology. Another approach is sandwiching very thin layers of copper strips in between two PET layers. The study on the global flexible electronics and circuits market highlights key technology trends, new frontiers, major R&D projects by industry players, and the factors affecting their demand in various end-use industries. The report is a data-driven perspectives on the size of opportunities in various consumer segments.
Flex circuits are bendable and stretchable, opening it to vast utilization avenue in electronics meant for consumers in various industries. The global flexible electronics and circuits market is witnessing constant advances in methods of manufacturing and also with the choice of substrates. The focus is on bringing cost-effective products to the market. The rising market potential of interconnect electronic components for wide array of smart consumer devices is a key factor boosting the flexible electronics and circuits market. Some of the rapidly expanding avenues for revenue generation are in embedded automotive electronics and personal entertainment devices. A number of active and passive components can be integrates into the buildup layers of these circuits, which will open new frontiers.
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Cell based assays are defined as any assay that takes place within a living cell. Because this definition is so general, there are thousands of different cell based assays. However, cell based assays can be grouped into categories such as cell proliferation assays, cell death assays, reporter gene assays, and cell signaling assays.
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There are many reason for conducting cell based assays. You might want to find out if a chemical or material is cytotoxic, meaning that it is toxic to cells. Another reason for conducting cell based assays is to ensure that a biological product is manufactured appropriately. Biological products often have multiple functional domains that might interact with several different molecules in order to function appropriately. For example, a protein product might have a functional domain that allows for the product to be internalized into the cell, a domain that allows it to move to the nucleus and another domain that allows it to activate a transcription factor. All these functional domains must be tested before the batch of product is released. Sometimes these functional domains must be done in a living organism, but in most cases the biological activity of protein product can be tested using a cell based assay.
Trends That are Shaping Market Growth
Increasing occurrence of lifestyle conditions and chronic disease, technical innovations in cell-based methodologies, and augmented investments in research and development activities for drug-discovery is likely to support rapid expansion of the global cell-based assays market. One of the driving forces of the market is likely to be the high prevalence of chronic conditions such as neurological problems, cardiovascular, diabetes, and cancer. Chronic diseases such as diabetes, cancer, and heart disease, according to the WHO, are the major causes of disability and death in the US. Furthermore, as a result of advancements in technology in cell-based assay methodologies and an increase in cell-based applications in the process of drug discovery, the demand for cell-based assays has risen exponentially. These factors are likely to trigger growth of the global cell-based assays market in the years to come.
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The waves of latest technologies like Artificial Intelligence have touched the shores of almost all sectors and businesses. The genomics sector is no exception. The growing penetration of the latest technologies across the genomics sector will bring prove to be a major growth contributor for the Artificial Intelligence in genomics market. To make the promise of precision medicine treatments a reality, the first step is translating genomic data from an incomprehensible resource to a meaningful medical asset — and AI will be key in that undertaking. Artificial Intelligence can enhance the interpretability of genomic data, and we’re trying to convert genomic data to actionable clinical information. We want to improve disease diagnosis, understand what medications we should give and to whom, minimize side effects and maximize efficacy. All of those things require us to go from raw data to interpretability.
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Why Artificial Intelligence is Needed in Genomics?
Combined with clinical, pharmaceutical, and lifestyle information, genomic data can help providers discover early signs of disease or determine an individual’s risk of developing disease. Genomics can point to the underlying causes of clinical changes, leading to more personalized, effective treatments. But this information is intricate, and the field of genomics is rapidly advancing. Providing genomic data to clinicians at the point of care in a clear, comprehensible way is still a big challenge for many health systems, leaving precision medicine largely in the realm of the hypothetical. As the industry struggles to make sense of genomic data – and incorporate this information into routine clinical care – researchers and provider organizations are increasingly using artificial intelligence to obtain actionable insights from genomic information.
The increasing importance of data in genomics for finding novel techniques and generating new drug-discovery mechanisms will bring intensive growth prospects for the Artificial Intelligence in genomics market. The trend of drug-discovery will prove to be a growth-changer for the Artificial Intelligence in genomics market.
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Over the past decades, in the bid to develop a carbon free energy, the interest in hydrogen as an environmentally clean fuel is increasingly gaining attention. However, to shift the economy from fossil fuels to clean burning fuels such as hydrogen, this will require significant change in current supply chain models.
“Meanwhile, to get it started, flexible scheduling for trucks and pipelines is proposed, which allows them to be used for both storage and transmission,” stated the lead author of a paper titled Transactions on Sustainable Energy published in the IEEE. Importantly, this has significance for green hydrogen generated from intermittent renewables, because it can provide extra flexibility for variation in demand and supply chains.
In fact, hydrogen is widely recognized as a viable fuel to decarbonize several sectors of the economy. This is because it can pack more energy by weight than natural gas or gasoline, and at the same time generates zero emissions when used as a source of energy. However, on the downside, generating hydrogen can cause significant emissions.
According to data of the U.S. Office of Energy Efficiency and Renewable Energy, today, 95 percent of the hydrogen that is generated is via steam methane reforming – an energy intensive process wherein methane reacts with water to generate hydrogen and carbon monoxide. In the second part of the process, steam is added to the cooled gas to convert carbon monoxide into carbon dioxide and generate more hydrogen.
Using this process, globally, hydrogen production accounts for about 4 percent CO2 emissions. This number is anticipated to rise significantly if the use of hydrogen as fuel increases for electric vehicles and industrial processes such as ammonia production and steel refining.