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Blood Test Could Predict Parkinson’s 7 Years before Symptoms – AI Test

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A simple blood test could predict Parkinson’s disease seven years before symptoms appear, marking a “major step forward” in diagnosis of the condition.

Blood Test Could Predict Parkinson’s 7 Years before Symptoms – AI Test

Researchers believe early prediction and diagnosis would help in finding treatments that could slow or stop Parkinson’s.

Parkinson’s disease is a progressive disorder that affects the nervous system and the parts of the body controlled by the nerves.

The test uses artificial intelligence (AI) to predict the disease, which is caused by the death of nerve cells in the part of the brain that controls movement.

When these nerve cells die or become impaired, they lose the ability to create a chemical called dopamine.

People with Parkinson’s are currently treated with dopamine replacement therapy after they have already developed symptoms, such as tremors or slowness of movement.

It is thought that early diagnosis and treatment would help protect the dopamine-producing brain cells.

Dr Michael Bartl, co-first-author of University Medical Centre Goettingen and Paracelsus-Elena-Klinik Kassel, alongside Dr Jenny Hallqvist, UCL Queen Square Institute of Neurology, said: “By determining eight proteins in the blood, we can identify potential Parkinson’s patients several years in advance.

“This means that drug therapies could potentially be given at an earlier stage, which could possibly slow down disease progression or even prevent it from occurring.”

Professor David Dexter, director of research at Parkinson’s UK, said: “This research, co-funded by Parkinson’s UK, represents a major step forward in the search for a definitive and patient-friendly diagnostic test for Parkinson’s.

“Finding biological markers that can be identified and measured in the blood is much less invasive than a lumbar puncture, which is being used more and more in clinical research.”

The research found that when a branch of AI called machine learning analysed a panel of eight blood-based biomarkers whose concentrations are altered in patients with Parkinson’s, it could provide a diagnosis with 100% accuracy.

Professor Kevin Mills, senior author of UCL Great Ormond Street Institute of Child Health, said: “As new therapies become available to treat Parkinson’s, we need to diagnose patients before they have developed the symptoms.

“We cannot regrow our brain cells and therefore we need to protect those that we have.

“At present we are shutting the stable door after the horse has bolted and we need to start experimental treatments before patients develop symptoms.”

He added that with sufficient funding, it is hoped the test will be used by the NHS within two years.

The experts suggest that with further research this test could potentially distinguish between Parkinson’s and other conditions that have some early similarities.

The team also looked at whether the test could predict the likelihood of someone going on to develop Parkinson’s.

Blood from 72 patients with Rapid Eye Movement Behaviour Disorder (iRBD) was analysed as it is known that about 75% to 80% of these people will go on to develop a synucleinopathy – a type of brain disorder caused by the abnormal build-up of a protein called alpha-synuclein in brain cells – including Parkinson’s.

The patients were followed up over 10 years and researchers say the AI predictions have so far been correct, with the team correctly predicting 16 patients would go on to develop Parkinson’s and being able to do this up to seven years before the onset of any symptoms.

According to Parkinson’s UK, around one in 37 people alive today in the UK will be diagnosed with Parkinson’s in their lifetime, and there are 153,000 people already living with the condition.

The researchers are hoping to secure funding to create a simpler test where a drop of blood can be spotted on a card and posted to the lab to investigate if it can predict Parkinson’s even earlier than the seven years before the onset of symptoms in this study.

The research, which was funded by an EU Horizon 2020 grant, Parkinson’s UK, the National Institute for Health and Care Research GOSH Biomedical Research Centre, and the Szeben-Peto Foundation, is published in Nature Communications.

 

 

 


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More than 50 Percent of Leaked Passwords End with a Number – Research Reveals

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To mark the occasion of World Password Day, Kaspersky experts analysed 231 million unique passwords in major password leaks from 2023 to 2026, and uncovered several key patterns.

First, 68% of modern passwords can be cracked within a day. Second, it turned out that the vast majority of compromised passwords either begin or end with a digit – a common pattern that makes them potentially vulnerable to brute force attacks.

And third, users also favour positive and trending words; for example, over the past couple of years, use of the word “Skibidi” in analysed passwords surged 36 times, mirroring the rise of that Internet trend.

In recent years, secure passwords’ rules have become a widely discussed topic. More and more services now demand passwords that are at least 10 characters long, include an uppercase letter, and contain a number or a symbol.

Yet a comparative analysis of leaked passwords from the past few years shows that even following some of those rules does not guarantee resistance to brute‑force or AI‑driven attacks.

Kaspersky experts share practical advice on how to make passwords more complex and secure, and how not to repeat common mistakes.

Be creative with using symbols and numbers

Among the leaked passwords that contain just one symbol, the “@” sign tops the list, appearing in 10% of cases. The next most common symbol is a dot (.), found in 3% of passwords. Among all analysed passwords “@” takes second place in terms of prevalence, and in third place is “!”.

Numbers also follow similarly predictable patterns:

53% of examined passwords end with digits;

17% begin with digits;

Nearly 12% include a numeric sequence that resembles a date (from 1950 to 2030);

3% of leaked passwords include keyboard sequencies like “qwerty” or “ytrewq”, but most of them are digital sequencies like “1234”.

Alexey Antonov, Data Science Team Lead at Kaspersky, notes that commonly used symbols, numbers, or dates – especially when placed in obvious positions (such as at the beginning or end of a password) – significantly simplify brute force attacks for cybercriminals. That’s why it’s highly recommended to give preference to less popular characters, and avoid numeric or keyboard sequences.

“Bruteforce works by systematically trying every possible character combination until the correct password is found. When attackers already know which characters users tend to favour, the time required to crack a password drops dramatically. To avoid the temptation of choosing predictable symbols, entrust password creation to dedicated generators that produce random letters, numbers, and symbols with equal probability”, says Alexey Antonov.

Between… Eden and hell: Try to avoid using words in a password

The research shows that emotional and trending words frequently become the basis for a password. For example, from 2023 to 2026 the use of the word “Skibidi” in passwords increased 36 times – mirroring the rapid rise of that Internet trend.

Kaspersky experts have also conducted analysis of the occurrence of positive and negative words in passwords, and it turned out that there are more positive ones. Among those regularly appearing are positive words like “love”, “magic”, “friend”, “team”, “angel” and “star”, “eden”. Interestingly, positive words are much more common than negative ones. However, words like “hell”, “devil”, “nightmare” and “scar” also occur.

“Using a single‑word password, even with a trailing number or a special character, is a weak choice. The pattern is too predictable, making it easy for attackers to guess. Instead, craft a passphrase that strings together several unrelated words, each supplemented with internal numbers and symbols, and sprinkle in a few intentional misspellings.

The longer and more random and unpredictable the password is, the harder it is to crack. As an additional way to protect yourself, enable two-factor authentication (2FA) wherever possible,” recommends Alexey Antonov.

Is password length important?

It’s well known that longer passwords are harder to crack, and the analysis of leaked passwords confirms this principle. However, with the rise of AI driven tools, length alone no longer guarantees security: even lengthy passwords can be compromised if they follow predictable patterns.

The research shows that short passwords of up to eight characters that appeared in the leak are typically cracked by brute force attacks in under a day. However, thanks to AI-powered smart algorithms, more than 20% of 15-character passwords can be broken in less than a minute.

What’s more 60.2% of all analysed passwords – regardless of length – can be cracked in about an hour; 68.2% – in a day.

In the examples provided, the calculations assume a single RTX 5090 GPU and the MD5 algorithm. In real‑world scenarios, attackers can rent multiple GPUs – ten, a hundred, or even more. Under such conditions, the cracking rate would increase potentially by several orders of magnitude.

In modern terms, truly secure passwords not only meet the gold standard of 16+ characters, but also consist of random, non-repeating letters, numbers, and symbols, and are unique for each account. To help users create such passwords, Kaspersky has added a password generation feature to the Kaspersky Password Generator website. Now users can not only check their passwords for leaks, but also generate secure passwords for free.

For easy and secure password management, auto-fill, and cross-device synchronisation consider using a password manager in which all credentials are stored in a secure vault and protected by a single master password. This eliminates the need to remember hundreds of passwords while keeping them safe from breaches.

What’s more, not only passwords, but also passkeys can be created and stored directly in Kaspersky Password Manager, which allows not only to sign in to supported services with a single tap, but also to access passkeys on all devices owing to secure synchronisation.


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Cybervergent Expands to Three New Markets

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Cybervergent has launched version 3.0 of its artificial intelligence (AI)-native posture management platform and expanded operations into Kenya, Ghana, and SA.

The move, according to the company, introduces automated risk verification for enterprises and aims to position Africa as a force in digital governance technology.

It goes on to say the latest platform upgrade introduces continuous posture management, replacing traditional point-in-time governance, risk, and compliance reporting with real-time verification systems.

An AI engine independently verifies 99.9% of audit and monitoring findings before they appear on enterprise dashboards, according to Cybervergent.

It says risk management, compliance, audit, and data security operations are integrated into a unified system built for cloud and on-premise environments.

According to  Cybervergent, the platform maps more than 4 500 controls across frameworks, including the Nigeria Data Protection Act (NDPA), International Organisation for Standardisation (ISO) 27001, and System and Organisation Controls (SOC) 2.

Cybervergent says the rollout of its first South African customer validates the platform’s readiness for highly regulated enterprise markets and strengthens its expansion strategy across Africa’s leading technology and financial hubs.

The company is also adopting a channel-first deployment model, working with local partners and system integrators in Lagos, Accra and Johannesburg to scale verified security infrastructure for enterprises navigating increasingly complex regulatory demands.

“We built verification into the architecture,” said Ayomide Daniels, co-founder and chief scientist at Cybervergent. “If a finding is not traceable back to source documentation, it does not reach the dashboard.”

Cybervergent rebranded from Infoprivacy in late 2023 to reflect its shift towards AI-automated cybersecurity.

The start-up previously focused on data privacy compliance in the West African market before pivoting to its current integrated posture management model.


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FG Bans Honorary Degree Holders from Using ‘Dr’ Title, Warns of Academic Fraud

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Federal Government has directed recipients of honorary doctorate degrees to stop using the title “Dr.” before their names, as part of efforts to protect the integrity of academic qualifications and curb the misuse of honorary awards.

FG Bans Honorary Degree Holders from Using ‘Dr’ Title, Warns of Academic Fraud

Minister of Education, Tunji Alausa

Minister of Education, Tunji Alausa, announced the directive after the approval of the new policy by the Federal Executive Council (FEC).

Alausa said the measure was necessary to address the growing abuse, commercialisation and politicisation of honorary degrees in some tertiary institutions across the country.

He explained that honorary doctorates are symbolic recognitions of outstanding contributions to society and do not equate to earned academic qualifications obtained through rigorous study, research and examination.

“Recipients of honorary doctorate degrees are not entitled to use the title ‘Dr.’ as a prefix to their names in official, professional or academic engagements,” he said.

According to the minister, awardees may instead indicate the honorary distinction after their names using formats such as D.Litt (Honoris Causa), LL.D (Honoris Causa) or other approved honorary designations.

Under the revised policy, only universities with active doctoral programmes will be permitted to confer honorary doctorate awards.

The government also restricted recognised honorary awards to four categories: Doctor of Laws (LL.D), Doctor of Letters (D.Litt), Doctor of Science (D.Sc), and Doctor of Humanities (D.Arts).

In addition, all honorary degree certificates must clearly carry inscriptions such as “Honorary” or “Honoris Causa” to distinguish them from earned academic degrees.

The minister warned universities against indiscriminate conferment of honorary degrees, noting that institutions found violating the directive would face sanctions from the National Universities Commission and the Federal Ministry of Education.

He said the policy was part of broader reforms aimed at restoring credibility to Nigeria’s higher education system and ensuring academic titles are not misrepresented for personal, political or financial gains.

Observers say the development could reshape the long-standing culture where public office holders, business executives and celebrities often adopt the “Dr.” title after receiving honorary awards.


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