Federal judge blocks Donald Trump TikTok imposed restrictions: A federal judge has just blocked the ban that Donald Trump had imposed on TikTok. The magistrate argues that national security concerns are "hypothetical" and do not justify restrictions on this social network.

The court order was filed Friday in a Pennsylvania district court, and prevents Trump's ban, which was originally issued in August, from taking effect on November 12.

The court order is part of a lawsuit that was filed in mid-September by some of TikTok's creators. They argued that the restrictions would greatly affect their business and limit the growth of their audience, and that the ban would also be an attack on users ' freedom of expression.

In a statement to Business Insider, a TikTok spokesperson said they were " deeply moved by the great support of the creators of the platform, who have worked to defend their freedom of expression and have also helped small businesses in such a difficult time as the pandemic."

"We support our community to share their voices, and we are committed to continuing to provide a home for them to continue to do so," this spokesperson added.

This motion by the judge is the latest obstacle facing Donald Trump in his goal of banning TikTok. U.S. officials have criticized the app's parent company, Bytedance, which is based in China, over national security concerns.

Federal judge blocks Donald Trump TikTok imposed restrictions

Some U.S. lawmakers have expressed fear that the Chinese government could access the personal data of millions of U.S. citizens through the app.

In addition to the ban, Donald Trump ordered the parent company of TikTok to sell the part of the business that develops in the United States to a North American company.

In principle, it seemed that Microsoft was the best positioned company for this operation, until Oracle won the offer to be the technology provider of the app. However, now this decision has remained in the air.

As the Trump administration has tried to block TikTok, other tech companies have started offering services similar to those of this app, such as Instagram reels, which also allows users to create short videos.

Another rival of TikTok is Thriller, a video sharing app that has gained popularity in recent months. Bytedance and TikTok have recently sued Tiller for copyright infringement, claiming they have been using their technology for years.

Federal judge blocks Donald Trump TikTok imposed restrictions

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María Rodríguez, the Spanish scientist who works with artificial intelligence at IBM to improve the diagnosis and treatment of diseases

María Rodríguez is a physicist by training and then specialized in astrophysics and cosmology. However, his current area is biology because he discovered that it was the field in which" many of the quantitative technical tools that I had could be applied, " he explains in an interview with Business Insider Spain.

"There was a lot of data, there were few people with the technical capabilities to model that data and the doors are wide open, so I didn't think about it," he says.

He trained in Computational Biology at the Weizman Institute of Science, in Israel, and Columbia University, in New York, and 6 years ago he crossed the pond again to work for IBM and start from scratch a project that seeks to apply artificial intelligence in health.

His research at IBM focuses on integrating different high-performance molecular data sets in order to build comprehensive molecular models of disease that can help clinicians provide better diagnoses and suggest personalized therapies.

The expert explains how the trajectory of her work has led her to focus more and more on personalized medicine. "It has a very high social and medical impact and there are many agencies funding these projects," Rodriguez says.

In recent years there has been "a real explosion in positive development of new experimental techniques" in the field of biology, says Rodriguez.

This has been possible because a massive volume of data has been accumulated, while the technology necessary to exploit it and achieve medical applications has been developed.

"Scientists have realized that it is possible to analyze these data and advance personalized medicine," says the scientist, who assures that they are algorithms that in no case seek to replace the doctor, but make suggestions to support the decision-making process.

In this line, the Spaniard has worked on various projects that use artificial intelligence and machine learning to improve the analysis and treatment of various types of cancer.

In 2018, he closed a work focused on prostate cancer and right now the team is immersed in a project focused on pediatric cancers. "They have the challenge that we have less data because they are rarer cancers," Rodriguez says.

The great potential of artificial intelligence is that it can attack the problem of heterogeneity of tumors, which makes one patient respond to a specific treatment while another does not. One of the main advantages of the technology applied in this regard is that it can make a prediction of whether a tumor will respond to a treatment or not.

He is also working on what he believes will occupy much of the Therapeutic Research of the future: the immune system. The scientist notes that the immune system has been linked to a large number of diseases, such as cancer or diabetes, and "it is increasingly thought that it would be possible to treat many of these complex disorders with manipulations of the immune system."

And he explains: "Right now we are understanding what can be done, what types of techniques to apply and what types of data are available."

Looking ahead, Rodriguez believes that this area has great transformative potential in cancer, immune and degenerative diseases.

One of the challenges when developing artificial intelligence applications in the healthcare sector is to ensure the transparency of algorithms so that clinicians can examine how the process has occurred and make better decisions.

"Models give you reasonable answers that are wrong, and if you have no idea why the model predicts what it predicts, it's very easy to get it wrong," Rodriguez warns.

And as the researcher points out, if a mistake occurs in a translator is not so serious, "but if you make a mistake in stratifying a cancer patient", the consequences are more severe.

Ensuring the complete transparency of algorithms to avoid "black boxes" is "a very complex field" in which both technical tools and education of the medical community are included, explains Rodriguez, who assures that there are several projects working in that line.

In this regard, the scientist also highlights the challenge of ensuring transparency in relation to the actual use of data and the protection of the same.

"Fears are well founded. There have been cases where insurance companies have misused the data," Rodriguez acknowledges.

However, he believes that a regulation will be made that will ensure that people have control over their data and that it is not used without consent: "the European protection law is a step forward".

For the expert, regulation will also have to ensure the transparency of the models. "For example, if an insurer suddenly raises their premiums by 200%, there could be a law that forces them to tell you what model they use and what factors they consider high risk," he notes.

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