The concept of justifiable healthcare and how big data can help us to achieve it.

Over the last decades, the face of health care has changed dramatically, with big improvements in what is technically feasible. However, there are indicators that the current approach to evaluating evidence in health care is not holistic and hence in the long run, health care will not be sustainable. New conceptual and normative frameworks for the evaluation of health care need to be developed and investigated. The current paper presents a novel framework of justifiable health care and explores how the use of artificial intelligence and big data can contribute to achieving the goals of this framework.

Similar or the Same? Why Biosimilars are not the Solution.

Advancements in the field of biotechnology have accelerated the development of drugs that are manufactured from cultures of living cells, commonly referred to as "biologics." Due to the complexity of the production process, generic biologics are unlikely to be chemically identical to the reference product, and accordingly are referred to as "biosimilars." Encouraging the development of biosimilars has been presented as the key solution to decrease prices and increase access to biologics, but the development and use of biosimilars continues to raise problems, none of which can easily be addressed. Developing a biosimilar requires considerable time and financial resources, and legitimate safety concerns necessitate elaborate clinical testing of biosimilars. As a consequence, the introduction of biosimilars onto the market has not resulted in significant price reductions, and concerns regarding the substitution and interchangeability of original biologics with biosimilars persist. This article will explain how the biologics production process distorts the trade-offs that traditionally guided both patent protection and regulatory exclusivities: disclosure as a key condition for benefiting from the corresponding monopoly position. Hence, we propose establishing a mechanism of mandatory deposit of the original biologic's cell line at the stage of the regulatory approval as the most effective remedy.

Patenting Foundational Technologies: Lessons From CRISPR and Other Core Biotechnologies.

In 2012, a new and promising gene manipulation technique, CRISPR-Cas9, was announced that seems likely to be a foundational technique in health care and agriculture. However, patents have been granted. As with other technological developments, there are concerns of social justice regarding inequalities in access. Given the technologies' "foundational" nature and societal impact, it is vital for such concerns to be translated into workable recommendations for policymakers and legislators. Colin Farrelly has proposed a moral justification for the use of patents to speed up the arrival of technology by encouraging innovation and investment. While sympathetic to his argument, this article highlights a number of problems. By examining the role of patents in CRISPR and in two previous foundational technologies, we make some recommendations for realistic and workable guidelines for patenting and licensing.

Raising the Barriers to Access to Medicines in the Developing World - The Relentless Push for Data Exclusivity.

Since the adoption of the WTO-TRIPS Agreement in 1994, there has been significant controversy over the impact of pharmaceutical patent protection on the access to medicines in the developing world. In addition to the market exclusivity provided by patents, the pharmaceutical industry has also sought to further extend their monopolies by advocating the need for additional 'regulatory' protection for new medicines, known as data exclusivity. Data exclusivity limits the use of clinical trial data that need to be submitted to the regulatory authorities before a new drug can enter the market. For a specified period, generic competitors cannot apply for regulatory approval for equivalent drugs relying on the originator's data. As a consequence, data exclusivity lengthens the monopoly for the original drug, impairing the availability of generic drugs. This article illustrates how the pharmaceutical industry has convinced the US and the EU to impose data exclusivity on their trade partners, many of them developing countries. The key arguments formulated by the pharmaceutical industry in favor of adopting data exclusivity and their underlying ethical assumptions are described in this article, analyzed, and found to be unconvincing. Contrary to industry's arguments, it is unlikely that data exclusivity will promote innovation, especially in developing countries. Moreover, the industry's appeal to a property rights claim over clinical test data and the idea that data exclusivity can prevent the generic competitors from 'free-riding' encounters some important problems: Neither legitimize excluding all others.