Scientists Find New Method To Predict Early Alzheimer’s With Nearly 100% Accuracy

News: Researchers from Kaunas University of Technology developed an artificial intelligence and deep learning-based method that can predict the possible onset of Alzheimer’s disease from brain images with an accuracy of over 99 percent.

Scientists developed the new technology while analysing functional MRI images obtained from 138 subjects and performed better in terms of accuracy, sensitivity and specificity than previously developed methods. The study findings were published in the journal Diagnostics’.

Although this was not the first attempt to diagnose the early onset of Alzheimer’s from similar data, our main breakthrough is the accuracy of the algorithm. Obviously, such high numbers are not indicators of true real-life performance, but we’re working with medical institutions to get more data,” says Maskelinas, a researcher at the Department of Multimedia Engineering, Faculty of Informatics, Kaunas University of Technology (KTU), Odusami’s PhD supervisor.

Alzheimer’s disease is contributing to up to 70 per cent of dementia cases. Across the world 24 million people are diagnosed with Alzheimer’s, and this number is expected to double every 20 years, according to the World Health Organization. This progressive neurological disorder is going to be a costly public health burden in the years to come. Worldwide, medical professionals are working hard to raise awareness of an early Alzheimer’s diagnosis.

Early detection of this disorder is important so that those affected have a better chance of benefiting from treatment. The new technology could be a game-changer in how Alzheimer’s and dementia are detected.

To Know More You May Refer To:

Odusami, M., Maskeliūnas, R., Damaševičius, R., & Krilavičius, T. (2021). Analysis of features of Alzheimer’s disease: Detection of early stage from functional brain changes in magnetic resonance images using a Finetuned ResNet18 network. Diagnostics, 11(6), 1071. https://doi.org/10.3390/diagnostics11061071

Up Next

Do Women Prefer Men With Tougher Facial Features? Research Finds

Why Men With Tougher Facial Features Attract More

Psychology News

A team of researchers at Vrije Universiteit Amsterdam explored how women, when faced with uncertainty, are attracted to men with tougher facial features. The study is published in the European Journal of Social Psychology.

The Study

The researchers surveyed data from Amazon Mechanical Turk. The participants were instructed to think and write about a situation in which they felt either uncertain or certain about a romantic date.

They were then presented with images of potential dates with either “tender” or “tough” facial attractiveness in a dating


READ FULL ARTICLE ⇲
Up Next

Couples Working From Home Together Share Family Tasks Equally: Study

Couples Working From Home Together

Psychology News

A team of researchers at Ohio State University explored how couples working from home together approach domestic labor. The study is published in the journal Personnel Psychology.

The Study

The researchers conducted two studies with dual-earning couples working from home in China and Korea, respectively. All participants completed two surveys for 14 consecutive workdays.

Each pair of husband and wife completed questionnaires about their work-from-home status, flexible work schedules, the amount of work and family tasks they completed, work-family conflict,


READ FULL ARTICLE ⇲
Up Next

Visual Food Cues Affect Our Food Choices: Study Finds

Visual Food Cues Affect Our Food Choices

Psychology News

A team of researchers at Osaka Metropolitan University explored how visual food cues influence our eating behavior. The study is published in PLOS ONE.

The Study

The researchers asked 31 healthy male volunteers to respond to visual food cues or food images in a series of experiments. Their brain activity was recorded and analyzed.

The Findings

The results revealed that visual food cues can affect your eating behavior. Certain food visuals affect food ch


READ FULL ARTICLE ⇲
Up Next

Victims Of Workplace Bullying Are Highly Likely To Believe In Conspiracy Theories: Study

Workplace Bullying Turns Victims Into Conspiracy Theorists

Psychology News

A team of researchers at the University of Nottingham explored the link between workplace bullying and conspiracy theories. The study is published in the journal Social Psychology.

The Study

The researchers conducted two studies. In the first study, they interviewed 273 victims of bullying about conspiracy beliefs. In the second study, 206 participants were asked to imagine possible experiences of workplace bullying and report their inclination to believe in conspiracy theories.

Participants from both studies completed assessments of


READ FULL ARTICLE ⇲
Up Next

Does Talking To Strangers Benefit Your Mental Health? Experts Opine.

Does talking to strangers benefit your mental health

Recent research shows that talking to strangers helps your mental health.

Such a tiny practice on a daily basis can help reduce the risks of depression and anxiety.

Social Connection And Mental Health

Human beings are social animals. Studies show that socializing, connecting, and networking with people keep us happier, more confident, mindful, and psychologically resilient. Forging and maintaining social connections have been positively associated with:

Reduced loneliness

READ FULL ARTICLE ⇲
The “Madness” Of Love Is Heaven’s Greatest Blessing? How The Film ‘Gone Girl’ Depicts Antisocial Personality Disorder And Psychopathy Stonehearst Asylum: Uncovering the Dark Past of Mental Health Treatments Billy Milligan: The Man With “24” Faces The Boy Who Stayed Awake For 11 Days Straight How Netflix’s “Wednesday” Explores Adolescent Stress And Therapy What Harry Potter Teaches Us About Mental Health? Nocturnal Panic Attacks: What are they & how to recover 10 Best Healthy Foods To Beat The Holiday Blues What Are The Struggles During Holidays & 5 Ways To Prevent It Holiday Depression: 13 Tips To Beat Holiday Blues I am feeling so “behind” in life