The advantage of this type of incorporation concerns the liability thresholds. In principle, the shareholders of a stock corporation are only liable up to the amount of their contribution to the company. So if the company goes bankrupt, creditors cannot claim compensation or seek damages from the shRead more
The advantage of this type of incorporation concerns the liability thresholds. In principle, the shareholders of a stock corporation are only liable up to the amount of their contribution to the company. So if the company goes bankrupt, creditors cannot claim compensation or seek damages from the shareholders personally. Conversely, the company is not liable for the liabilities of its partners. The strict separation between shareholder and corporate liability follows the principle of the legal person.
Another benefit is the ability to raise the necessary funds to start the business. In the start-up phase, it can be difficult for a company to obtain seed capital. However, if few business partners make an investment to achieve a single goal, the business start-up plans are likely to be more realistic. At the same time, joint investments are directly linked to joint profit sharing. So if the company is making a profit, the dividends should be paid pro rata to each shareholder.
The duties and powers of a board of directors of a company are based on the applicable commercial law and the articles of association of the company. A public company typically has a two-tiered board of directors, which helps to control day-to-day decision-making and prevent mistakes, but a complicated governance structure can hamper the speed of decision-making at times when rapid response is required.
If you are planning to set up a company in the form of a public company, we strongly recommend that you contact us beforehand. We will inform you comprehensively and in detail about tax planning options and the most efficient corporate structure for your company.
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Artificial intelligence (AI) is the science and engineering of making smart computer programs and machines to perform tasks, which require human intelligence. It uses the learning from is based on many fields of science, such as computer science, psychology, linguistics, engineering and, mathematicsRead more
Artificial intelligence (AI) is the science and engineering of making smart computer programs and machines to perform tasks, which require human intelligence. It uses the learning from is based on many fields of science, such as computer science, psychology, linguistics, engineering and, mathematics and biology.
In the past few years, AI-based systems have demonstrated intelligent behavior through their ability to learn and, communicate with its users as well as nd solve complex problems using highly sophisticated algorithms.
Consequently, AI is currently being deployed in various sectors, particularly pharmaceutical industry, for various applications. In attempts to address the concerns associated with the rising capital requirements in drug discovery and prevent late-stage failure of drug development programs, stakeholders in the pharmaceutical industry are currently exploring the implementation of AI based tools, in order to better inform drug development operations using available chemical and biological data.
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AI-based Drug Discovery Market
Majority of the stakeholders have the required AI-related expertise for lead identification and optimization of drug candidates targeting a range of therapeutic areas. Over 55 stakeholders in this domain claim to offer AI-based drug discovery services for both small molecules and biologics. Example of companies that offer AI-based drug discovery services for therapies targeting oncological disorders include Arctoris, Benevolent AI, Data4cure and Elucidata.
Growing Number of Partnerships Validate the Interest in this Industry
A rise in partnerships focused on research and development of drugs using AI-based technologies validate the growing interest in this market; the maximum number of such deals were signed in 2021. It is worth mentioning that maximum partnerships (33%) were focused on drug targeting oncological disorders.
Strong Intellectual Property Portfolio
In the past two years, close to 250 patents related to AI-based drug discovery have been filed / granted, indicating the heightened pace of innovation. In addition to industry players, various academic institutes have filed multiple patents in this domain.
Likely Growth of the AI-based Drug Discovery Market
Driven by the increasing demand for AI-based technologies for drug discovery and development, the market is poised to grow at a CAGR of 25%, during the time period 2022-2035. Currently, North America holds the largest share in the overall AI-based drug discovery market.
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