Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
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Science advances
Magnetic medical microrobots with memory-capable genetic circuits
Autonomous microrobots can reach hard-to-access regions in the human body for minimally invasive therapy. However, their microscale size limits the integration of on-board memory, making their operation dependent on external controls. Here, we develop a magnetic probiotic microrobot integrated with memory-capable genetic circuit to execute autonomous antitumor treatment. Through a one-time magnetic hyperthermia trigger, the biological thermal sensor in the microrobot perceives temperature change and activates the memory module Bxb1-ssrA-attB-P7-attP, transferring the microrobots into a therapeutic state to continuously degrade fibrin and soften the tumor microenvironment. The genetic memory remains active for at least 12 days. A synergy toward deep tumor penetration is subsequently established between the memory-encoded softening and the physical penetration through magnetically controlled wave-like locomotion of microrobots. Compared with memory-absent microrobots, the proposed microrobots achieve a 6.70-fold tumor matrix stiffness reduction and boost in vivo anticancer efficacy from 21.86 to 87.52%. Beyond oncology, the proposed system establishes a generalizable framework of memory-encoded medical microrobots.
18 May 2026
Read appraisal →Analytical chemistry
TPP-Fabricated All-Fiber Nanoforce Sensor with Deep Learning Analysis Enables Ultrasensitive Cancer Cell Mechanophenotyping
Cellular mechanics provide sensitive, quantitative markers of cancer progression, yet routine nanoforce measurements remain constrained by the cost, footprint, and electromagnetic limitations of conventional platforms. Here we report an all-fiber nanoforce sensor (AFNS) that integrates a two-photon-polymerized (TPP) microcantilever on the end facet of a multimode fiber, establishing a compact and robust analytical strategy for ultrasensitive force measurements. The printed structure comprises a rigid base, a ∼2 μm-thick cantilever disk, and a probe tip. Finite-element analysis is employed to estimate the effective spring constant and to optimize mechanical compliance. Force-dependent multimode specklegrams are quantitatively decoded using an EfficientNet-based regression model, enabling highly accurate force readout (R2 = 0.9999; mean absolute error <0.2%). The sensor achieves a force resolution of 0.41 nN and maintains stable analytical performance over 100 repeated loading cycles, representing a rigorous repeatability assessment for this class of fiber-tip force sensors. The analytical capability of the AFNS is validated by quantifying the Young's modulus of polydimethylsiloxane and by mechanically phenotyping A549 and HepG2 cells at different invasion stages, showing strong agreement with atomic force microscopy. With low cost, replaceable probes, and a compact all-fiber configuration, this work provides a scalable analytical methodology for high-precision micro/nano-force characterization and quantitative cellular mechanics assays.
11 May 2026
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