Unethical behavior inside organizations is often less sudden than companies assume. New research from ESMT Berlin shows how employees can collectively drift into misconduct as groups gradually reshape what they perceive as ethical or acceptable. 

A large-scale retrospective study of 936 analytical records from 747 non-small cell lung cancer (NSCLC) patients demonstrates that droplet digital PCR (ddPCR) shows exceptionally high concordance with next-generation sequencing (NGS) for detecting EGFR mutations across diverse clinical specimen types, including fresh tumor tissue, formalin-fixed paraffin-embedded (FFPE) tissue, plasma-derived cell-free DNA (cfDNA), and pleural effusion supernatant. The overall positive percent agreement (PPA) between ddPCR and NGS was 98.82% (925/936; exact 95% CI, 97.91%–99.41%). Variant allele frequencies (VAFs) measured by the two methods were strongly correlated (Pearson's r = 0.975). The study also validated that pre-capture NGS libraries can serve as reliable surrogate templates for ddPCR when original DNA input is limited, offering a practical solution for low-input clinical scenarios. These findings position ddPCR as a robust complement to NGS for rapid, sensitive, and cost-effective EGFR mutation testing in precision oncology workflows.

Researchers warn that efforts to avoid stigmatizing mental illness should not render victims invisible, particularly within the family sphere

A research team has developed a combination immunotherapy that uses an electrical ablation technique to enhance the efficacy of immune cell therapy against liver cancer.

- KAIST and TU Dresden identify, at the nanoscale, how information is recorded in a next-generation memory material

- New information-storage regions form while existing ones spread at the same time, and a single model now explains two processes previously treated separately

- The model describes information writing from its onset to its spread and is expected to support the design of faster, more stable, low-power nonvolatile memory and neuromorphic devices for AI