Based on the theory of coherent inverse Compton scattering, researchers have proposed a novel scheme for generating high-intensity extreme ultraviolet (EUV) and soft X-ray light beams. In this scheme, specially designed structured light fields, featuring periodic patterns in both space and time, are used to interact with high-energy electron beams. This interaction leads to inverse Compton scattering, where the scattered photons possess higher energy than the incident ones. Due to the periodic structure of the structured light fields, the scattering process becomes coherent rather than incoherent, resulting in significantly enhanced efficiency. This approach holds great potential as a powerful and efficient solution for advanced applications requiring intense EUV and soft X-ray radiation.

Every year, millions of newborns undergo routine heel-prick screening, a simple test that can mean the difference between a healthy life and catastrophic disability. Now, breakthroughs in high-throughput sequencing are supercharging this process. It detects rare genetic disorders before symptoms appear and transforms pediatric medicine from damage control to prevention.

A research team from ShanghaiTech University has created a new method for designing two-dimensional patterned hollow structures (2D-PHS) with improved mechanical properties for aerospace and automotive applications. By using Conditional Generative Adversarial Networks (cGAN) and Deep Q-Networks (DQN), they optimized the design of 2D-PHS much faster than traditional finite element analysis (FEA). Their optimization enhanced stress uniformity by 4.3% and reduced maximum stress concentrations by 23.1%. These improvements were validated through simulations and tensile tests on 3D-printed samples, which showed tensile strength increased from 5.9 to 6.6 MPa. This study highlights the effectiveness of AI in efficient material design.

Precise tumor diagnosis and treatment require the support of abundant molecular information. However, conventional molecular diagnostic technologies gradually fail to satisfy the demands of clinical therapy due to limited detection performance. Benefiting from highly specific target sequence recognition and efficient cis/trans cleavage activity, CRISPR/Cas system has been widely employed to construct novel molecular diagnostic strategies, hailed as the “next-generation molecular diagnostic technology”. This review focuses on recent advances in CRISPR molecular diagnostic systems for the detection of tumor variant gene, protein, and liquid biopsy biomarker, and outlines strategies for CRISPR in situ molecular detection. In addition, we explore general principles and development trends in the construction of CRISPR molecular diagnostic system and emphasize the revolutionary impact that it has brought to the field of molecular diagnostics.

This review explores the interplay between COVID-19 and malaria, with a focus on pregnant women. The concurrent infection of SARS-CoV-2 and malaria presents significant challenges in diagnosis, treatment, and management due to overlapping symptoms and complex immune responses. Genetic factors, particularly variations in the angiotensin-converting enzyme 2 (ACE2) receptor, play a crucial role in determining disease susceptibility and severity. Malaria-induced immunomodulation may influence the clinical progression of COVID-19, though the precise impact remains uncertain. The review emphasizes the need for integrated diagnostic and therapeutic approaches to effectively manage co-infections and improve maternal and fetal health outcomes. It underscores the importance of timely intervention and enhanced diagnostic methods to better understand and address these interactions. This review aims to bridge gaps in current knowledge and pave the way for future research and targeted therapeutic interventions, addressing a significant yet often overlooked public health challenge.