EurekAlert! News by Subject: Tech & Engineering - News by Subject: Tech & Engineering

Tech & Engineering

Updates every hour. Last Updated: 3-Apr-2026 17:15 ET (3-Apr-2026 21:15 GMT/UTC)

Reviving dormant immunity: Millimeter waves reprogram the immunosuppressive microenvironment to potentiate immunotherapy without obvious side eﬀects

Beijing Institute of Technology Press Co., Ltd
Peer-Reviewed Publication

A research paper by scientists from Beijing Institute of Technology investigated the anti-tumor eﬀect of millimeter waves (MMWs) alone and in combination with the anti-programmed cell death-ligand 1 (α-PD-L1) antibody in a 4T1 “cold tumor” model.

The new research paper, published on Dec 10 2025 in the journal Cyborg and Bionic Systems, investigated the anti-tumor eﬀects of mono-MMW therapy (35 GHz, 10 mW/cm², close-contact irradiation), both alone and in combination with the immune checkpoint inhibitor α-PD-L1 in 4T1 and CT26 “cold tumors”.

Machine learning drives drug repurposing for neuroblastoma

Lund University
Peer-Reviewed Publication

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have identified a combination of statins and phenothiazines that is particularly promising in the treatment of the aggressive form of neuroblastoma. The results from experimental trials showed slowing of tumour growth and higher survival rates.

Journal: EMBO Molecular Medicine
Funder: Cancerfonden, The aPODD Foundation, ENEA (European Neuroblastoma Association), Healx, The Swedish Childhood Cancer Fund, The Swedish Research Council

Decoding how pear trees are pruned: 3D insights pave the way for automated orchards

Nanjing Agricultural University The Academy of Science
Peer-Reviewed Publication

A research team has developed a high-precision 3D analysis framework that reveals, for the first time, the quantitative rules underlying dormant pruning in pear trees.

Journal: Plant Phenomics

Safety decision-making for autonomous vehicles integrating passenger physiological states by fNIRS

Beijing Institute of Technology Press Co., Ltd
Peer-Reviewed Publication

A research paper by scientists at Tsinghua University presented an intelligent safety decision-making algorithm with passenger’risk assessment by analyzing passenger physiological states online using fNIRS.

The research paper, published on May 13, 2025 in the journal Cyborg and Bionic Systems, proposes a new framework aimed at dynamically adjusting vehicle behavior based on physiological signals such as passengers’emotional states and attention concentration, optimizing the vehicle’s response in complex traffic environments.

Blue energy advances unlock sustainable power from water

Tsinghua University Press

Blue energy—renewable power derived from the kinetic and potential forces of water—has become a key pathway for building sustainable and low-carbon energy systems. This review synthesizes global progress in hydropower, ocean energy, and hybrid offshore technologies, highlighting rapidly advancing wave-energy devices and triboelectric nanogenerators (TENGs) for blue energy. While hydropower is technologically mature, ocean-based energy systems are expanding due to vast resource potential and accelerating technological innovation. The review identifies promising designs for efficient wave-energy harvesting alongside remaining engineering challenges related to durability, cost, and large-scale deployment. Together, these insights provide a roadmap for advancing water-derived renewable energy to support global decarbonization.

Journal: Ocean

Linking leaf traits to light: A new framework for predicting canopy optical behavior

Nanjing Agricultural University The Academy of Science
Peer-Reviewed Publication

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic traits such as surface roughness, thickness, and pigment content.

Journal: Plant Phenomics

Beyond vegetation indices: A phenomic prediction strategy sharpens genetic signals from drone-based crop imaging

Nanjing Agricultural University The Academy of Science
Peer-Reviewed Publication

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than relying on a single vegetation index, enables more accurate disease assessment.

Journal: Plant Phenomics