A new white paper: “From Knowledge to Solutions: Science, Technology and Innovation in Support of the UN SDGs”, published in the open-science scholarly journal Research Ideas and Outcomes (RIO), brings together leading voices from Europe’s biodiversity and data science communities to deliver a clear message: protecting biodiversity is not just an environmental issue. It is essential for food security, public health, climate stability, and the global economy. The authors make a call for a decisive shift: from fragmented initiatives to a holistic, global approach to biodiversity research and policy.

Depression is often linked to changes in facial expressions. However, the link between mild depression, known as subthreshold depression, and changes in facial expressions remains unclear. Now, researchers have investigated whether subthreshold depression shows changes in facial expressions in Japanese young adults using artificial intelligence. The findings reveal distinct muscle movement patterns related to depressive symptoms which may help detect depression early, paving the way for timely and preventative mental health care.

The geometry of standard multi-well cell culture plates restricts oblique illumination angles, preventing matched illumination condition required for accurate tomographic reconstruction. To overcome this limitation, researchers developed the DF-FPDT technique, which leverages non-matched illumination and harnesses it as an intrinsic mechanism for dark-field-like contrast enhancement. By selectively updating high-frequency components using Phase Transfer Function (PTF) filtering, DF-FPDT effectively addresses low-frequency loss, enabling high-resolution, high-contrast live-cell imaging and dynamic screening, making DF-FPDT a powerful tool for biomedical research under realistic laboratory conditions.