The prevalence of asthma differs between men and women, and furthermore, the difference changes over the lifespan. “Asthma is more common in boys than girls, but more common in women than men,” Clare Lloyd told BioWorld. Females are particularly susceptible to asthma during developmental periods of hormonal changes, also known as puberty, pregnancy and menopause.
Cancer cells expand through mutations – but not just through mutations. They also change their behavior in the absence of underlying genetic alterations. Such plasticity helps the cells both adapt to the cellular stress fueled by out-of-control growth and resist targeted and chemotherapies alike. Investigators from Memorial Sloan Kettering Cancer Center and Huazhong Agricultural University have gained new insights into the underlying mechanisms of plasticity.
The prevalence of asthma differs between men and women, and furthermore, the difference changes over the lifespan. “Asthma is more common in boys than girls, but more common in women than men,” Clare Lloyd told BioWorld. Females are particularly susceptible to asthma during developmental periods of hormonal changes, also known as puberty, pregnancy and menopause.
Cancer cells expand through mutations – but not just through mutations. They also change their behavior in the absence of underlying genetic alterations. Such plasticity helps the cells both adapt to the cellular stress fueled by out-of-control growth and resist targeted and chemotherapies alike. Investigators from Memorial Sloan Kettering Cancer Center and Huazhong Agricultural University have gained new insights into the underlying mechanisms of plasticity.
Cancer cells expand through mutations – but not just through mutations. They also change their behavior in the absence of underlying genetic alterations. Such plasticity helps the cells both adapt to the cellular stress fueled by out-of-control growth and resist targeted and chemotherapies alike. Investigators from Memorial Sloan Kettering Cancer Center and Huazhong Agricultural University have gained new insights into the underlying mechanisms of plasticity.
Once it was considered to be more or less a passive energy-storing device that could double as a cushion. But increasingly, fat is conceptualized as an endocrine organ as much as a tissue type. Now, separate research groups have reported new insights into the functional roles of different fats based on their anatomical location and functional characteristics.
Depending on who you ask, AI will take over the world and save it; or ruin it. Certainly, it is changing it. Science magazine dedicated its first editorial of 2026 to AI. Despite its title – “Resisting AI slop“ – editor-in-chief Holden Thorp gave the sort of nuanced review that is typical of him.
Depending on who you ask, AI will take over the world and save it; or ruin it. Certainly, it is changing it. Science magazine dedicated its first editorial of 2026 to AI. Despite its title – “Resisting AI slop“ – editor-in-chief Holden Thorp gave the sort of nuanced review that is typical of him. “Like many tools, AI will allow the scientific community to do more if it picks the right ways to use it,” he wrote. “The community needs to be careful and not be swept up by the hype surrounding every AI product.”
The concept of the 3 Rs – reducing, refining and replacing animal research – has been championed since the 1950s, when William Russel and Rex Burch argued in their book “The Principles of Humane Experimental Technique” that the 3 Rs could simultaneously improve the treatment of research animals and advance the quality of scientific and medical research and testing. Current standard practices of animal research undeniably cause animal suffering at the same time that they have prioritized replicability over translatability.
Depending on who you ask, AI will take over the world and save it; or ruin it. Certainly, it is changing it. Science magazine dedicated its first editorial of 2026 to AI. Despite its title – “Resisting AI slop“ – editor-in-chief Holden Thorp gave the sort of nuanced review that is typical of him. “Like many tools, AI will allow the scientific community to do more if it picks the right ways to use it,” he wrote. “The community needs to be careful and not be swept up by the hype surrounding every AI product.”