Health
New Predictive Health Model Forecasts Risk of Over 1,000 Diseases
Scientists have developed a new predictive model that can estimate a person’s risk of developing more than 1,000 medical conditions, including diabetes, cancer, and heart disease, years before symptoms emerge.
The research, published Wednesday in the journal Nature, describes the tool as one of the largest demonstrations to date of how advanced data models could be applied to healthcare. The system was trained on anonymised health records from 400,000 people in the United Kingdom and tested using data from 1.9 million patients in Denmark.
By analysing the sequence of past medical events—such as diagnoses, smoking histories, and the time gaps between them—the model can identify patterns that often precede serious illnesses. Researchers stressed that the results represent probabilities, not certainties, likening the output to a weather forecast.
“This is the beginning of a new way to understand human health and disease progression,” said Moritz Gerstung, head of the oncology modelling group at the German Cancer Research Centre (DKFZ), which helped lead the project.
The model proved most reliable in predicting conditions with well-documented and consistent progression pathways. These include certain cancers, diabetes, cardiovascular disease, and septicaemia, a severe blood infection. Its accuracy was also stronger in the near term, providing more dependable forecasts over a span of several years than over decades.
However, the system struggled with conditions that are less predictable, such as infectious diseases, mental health disorders, and pregnancy-related complications. Researchers said this limitation highlights the complexity of these conditions and the challenges in forecasting them based on past data alone.
Ewan Birney, interim director general of the European Molecular Biology Laboratory (EMBL), another partner in the project, described the results as “a big step towards more personalised and preventive approaches to healthcare.” He said the model demonstrated how long-term health data could be harnessed to generate meaningful predictions.
The collaborative effort also involved the University of Copenhagen. While the tool is not yet ready for clinical use, scientists believe it could eventually help doctors flag high-risk patients earlier and guide tailored preventive care. Gerstung said the model might “support earlier, more tailored interventions” once further validated.
Independent experts cautioned that the datasets used to build the system were limited in scope. Because they primarily reflect populations in the UK and Denmark, the findings may not be fully representative of other regions or diverse groups. More work will be needed to test the model across varied populations, particularly given differences in age, ethnicity, and healthcare access.
For now, researchers say the model’s value lies in deepening the understanding of how diseases evolve over time and how lifestyle factors interact with medical history to shape long-term health outcomes.
Health
Global Mental Health Cases Near 1.2 Billion as Anxiety and Depression Drive Sharp Worldwide Rise
A major global analysis has found that mental health conditions have surged to an estimated 1.2 billion people worldwide, driven largely by steep increases in anxiety and depression over the past three decades.
The findings, published in The Lancet as part of the Global Burden of Disease Study 2023, show that the number of people living with mental disorders has almost doubled since 1990, marking a 95% rise. Researchers say major depressive disorder and anxiety disorders have seen even sharper growth, increasing by 131% and 158% respectively, making them the most prevalent mental health conditions globally.
The report describes mental illnesses as widespread conditions that create long-term disability and significant human suffering. It also highlights broader consequences for economies and public services, including reduced productivity, lower workforce participation and increasing pressure on health and welfare systems.
Researchers estimate that in 2023 alone, around 620 million females and 552 million males were affected by mental health conditions. While the overall burden is rising across both sexes, the study points to notable differences in the types and prevalence of disorders.
Among women, depression and anxiety were the most commonly reported conditions, alongside higher rates of eating disorders such as anorexia nervosa and bulimia nervosa. The report links this disparity to a mix of biological, social and structural factors, including exposure to domestic violence, sexual abuse, gender inequality and reproductive health-related changes.
In contrast, neurodevelopmental and behavioural disorders, including attention deficit hyperactivity disorder (ADHD), conduct disorder and autism spectrum conditions, were more frequently diagnosed in men.
Teenagers aged 15 to 19 were identified as the group experiencing the highest mental health burden globally, raising concerns about early onset of conditions and insufficient preventive care for young people.
The study identifies several key risk factors associated with mental illness, including childhood sexual violence, bullying and intimate partner violence. These factors are strongly linked to conditions such as depression, schizophrenia, bipolar disorder and anxiety disorders. However, researchers note that such exposures have remained relatively stable over time and account for only a portion of the overall rise.
According to the authors, broader drivers are likely contributing to the increasing prevalence of mental disorders. These include genetic and biological influences, poverty, inequality, and the growing impact of global crises such as armed conflict, pandemics, natural disasters and climate-related stress.
While mental health conditions have long been a leading cause of disability worldwide, the report warns that the situation is worsening. At the same time, health systems have not expanded services at a pace matching demand.
The authors caution that the gap between rising need and limited access to care is becoming more pronounced, leaving millions without adequate treatment or support.
Health
Europe Records Sharp Rise in Sexually Transmitted Infections, ECDC Warns
Health
White House Rejects Report It Blocked Return of Ebola-Infected US Doctor
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