More education reduces dementia risk decades later
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Updates every hour. Last Updated: 26-Oct-2026 12:17 ET (26-Oct-2026 16:17 GMT/UTC)
Large language models overwhelmingly select drug recommendations based on a small number of drug products, often favoring brand-name products, those highly visible in Google searches, or with dedicated Wikipedia pages. This bias would increase drug acquisition costs by millions of dollars compared with physicians’ typical recommending patterns.
October 26–27 | Dubai
Dr. Alex Aliper, Co-founder and President of Insilico Medicine, has been invited to attend the Dubai AI Festival 2026 at the Dubai World Trade Centre (DWTC).October 26–27 | Hong Kong
Dr. Feng Ren, Co-CEO and Chief Scientific Officer of Insilico Medicine, has been invited to attend the 2026 Global Healthcare Innovation Summit (GHIS 2026) at the Grand Hyatt Hong Kong.October 28–30 | Seoul
Dr. Jue Wang Global Head of Business Development at Insilico Medicine, has been invited to attend BioPlus-Interphex Korea 2026 (BIX 2026) at COEX in Seoul.October 29 | Suzhou
Dr. Feng Ren, Co-CEO and Chief Scientific Officer of Insilico Medicine, has been invited to attend the 6th SAPA-China 2026 Healthcare Industry Conference at the Suzhou Shishan International Conference Center.October 29–30 | Shenzhen
Dr. Alex Aliper, Co-founder and President of Insilico Medicine, has been invited to attend the 2026 Tencent Global Digital Ecosystem Summit, held in Hall 18 at the Shenzhen World Exhibition & Convention Center.Research published in the Journal of Risk and Financial Management shows that crises do more than cause financial market volatility and falling share prices – they lead to markets becoming far more interconnected.
The study examined the Dow Jones Industrial Average, S&P 500, FTSE 100 and DAX during the Global Financial Crisis and the Covid-19 pandemic.
Rather than study correlation (market A causes a movement in market B), the research used a technique derived from chaos theory, known as convergent cross-mapping, to look at whether the dynamics of one market contained recoverable information about another.
The most striking results came from the Covid-19 pandemic, where the average coupling measure increased by 16% from pre-crisis to crisis period.Traditional health-insurance reserving relies on stable historical averages, which break down when a disease spreads rapidly through a population. Researchers from China and the United States have developed a framework that tracks how long each policyholder has been infected, or their "infection age", and links this to the escalating medical costs of disease progression. The approach lets insurers feed real-time outbreak indicators, such as the reproduction number, directly into reserve estimates and stress tests.
In a Policy Article, Aayushi Mishra and colleagues use Jamaica’s experience with 2025’s Hurricane Melissa as a case study that reveals how extreme weather and disaster spending can trap climate-vulnerable countries in a cycle of recovery borrowing and underinvestment in future climate resilience. “Jamaica’s trajectory from over a decade of hard-won fiscal discipline to a sharp reversal of that progress in a matter of weeks is an urgent signal that institutional frameworks are not keeping pace with a changing climate,” write the authors. Climate-vulnerable countries face a dual challenge: maintaining sustainable public debt while investing in protections against increasingly severe extreme weather. Although international financial institutions reward fiscal discipline through favorable credit ratings and lending terms, they offer fewer comparable incentives for investments in climate resilience. This imbalance can create a self-reinforcing cycle in which disasters force underprepared countries to take on additional debt, diverting resources away from future resilience measures and deepening their vulnerability to subsequent climate shocks – a pattern known as a “climate-debt doom loop.” What hasn’t yet been documented is how the loop unfolds in real time within a single country during a disaster.
Here, Mishra et al. examine this dynamic through Jamaica’s experience with Hurricane Melissa in October 2025, which struck just weeks after the country received an upgrade to its sovereign debt rating. After reducing its public debt through years of rigid fiscal restraint, Jamaica faced an estimated US$12.2 billion in storm-related damage, losses, and costs, an amount equivalent to roughly 56.7% of its 2024 GDP. According to the authors, Jamaica’s experience with Hurricane Melissa illustrates a self-reinforcing cycle in which heavy debt burdens constrain investment in climate resilience, leaving the country increasingly vulnerable to disasters and dependent on borrowing for recovery. Following Melissa, Jamaica borrowed an estimated US$3.6 billion for recovery, potentially raising its debt-to-GDP ratio to 68.5% and creating future repayment obligations that could further crowd out infrastructure investment. The authors argue that conventional sovereign credit ratings and debt sustainability frameworks inadequately account for physical climate vulnerability, reinforcing incentives to prioritize near-term fiscal targets over preventive investment. Breaking this cycle will require coordinated reforms that integrate climate resilience into financial risk assessments, expand rapid disaster financing, and mobilize private capital alongside public investment to reduce future losses without further undermining debt sustainability.
For reporters interested in research integrity topics, co-author Auroop Ganguly remarks, “when we were writing this paper, we found that a real integrity challenge in this climate-finance research domain is that much of the underlying data (loan terms, disaster-loss assessments, insurance payout mechanisms, etc.) can be behind institutional walls or, in some cases, simply not be disclosed at all. This can make verifying the data difficult; we faced this issue where things like key financing terms for Jamaica’s disaster recovery package are still not fully disclosed even after a year post-Hurricane Melissa. We would like to see funders and multilateral institutions to treat disclosure of these terms as standard practice (and not a courtesy), since the public and researchers alike are left to trust conclusions that they can’t necessarily check independently.”
A new study by Stevens Institute of Technology researchers finds that people who have engaged in entrepreneurship have an approximately 10 percent lower risk of death than non-entrepreneurs, based on data from more than 27,000 Americans over age 50. Researchers suggest that autonomy, purpose and personal control associated with entrepreneurship may contribute to better mental health and longer life. The findings also emphasize how organizations can support employees’ well-being by offering them greater autonomy, ownership and meaningful engagement in the workplace.