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Breakthroughs brought about by two‐dimensional (2D) materials in the field of photodetection have opened up new possibilities in infrared imaging. However, challenges still exist in fabricating high‐density detector arrays using such materials, which are essential for traditional imaging systems. In this study, we present a state‐of‐the‐art computing imaging system that utilizes a MoTe2/Si self‐powered photodetector coupled with flexible Hadamard modulation algorithms. This system demonstrates remarkable capability to produce high‐quality images in the shortwave infrared (SWIR) band, surpassing the capabilities of devices based on alternative material systems. The exceptional infrared imaging capability primarily stems from the MoTe2/Si photodetector's inherent features, including an ultra‐wide spectral range (265–1550 nm) and extremely high sensitivity (linear dynamic range (LDR) up to 123 dB, responsivity (R) up to 0.33 A W–1, external quantum efficiency (EQE) up to 43% and a specific detectivity (D*) exceeding 2.9 × 1011 Jones). Moreover, the imaging system demonstrates the ability to achieve high‐quality edge imaging of objects in the SWIR band (1550 nm), even in strong scattering environments and under low sampling rate conditions (sampling rate of 25%). We believe that this work will effectively advance the application scope of 2D materials in the field of computational imaging in SWIR bands. A high‐performance computational imaging system operating in the SWIR region, utilizing MoTe2/Si 2D‐3D Heterojunction‐Based Photodiode is developed. By incorporating the SPI algorithm, high‐resolution SWIR imaging and high‐quality image edge extraction at low sampling rates are achieved. Moreover, the system exhibits strong capability to penetrate imaging through scattering media, enabling high‐quality imaging in scattering environments under 1550 nm light.

A ternary nanocomposite structure of TiO 2 –Cu 2 O–Au was successfully synthesized by the hydrothermal method to explore the light trapping mechanism of Au nanoparticles in photoelectrochemical water splitting. The photocurrent curve of TiO 2 –Cu 2 O–Au quickly arrived at saturation and increased to 1044 μA/cm 2 at 1.23 V (vs RHE), which was 10.4 times higher than the TiO 2 only. This attributed to the positive synergistic effect of Au plasmon and TiO 2 –Cu 2 O heterojunction, in which Au act as a light absorber extended the optical path while Cu 2 O promoted the separation of photogenerated electron–hole pairs in semiconductors. These intriguing results expanded the comprehensive understanding of the plasmon-assisted photocatalyic reactions and gave a better manipulation in the design of efficient artificial photosynthesis systems. Graphic Abstract TiO 2 –Cu 2 O–Au nanorod arrays were successfully synthesized by the hydrothermal method. TiO 2 –Cu 2 O–Au nanorod arrays photoanode were strategically designed to improve photoelectrocatalytic (PEC) performance by Au plasmon loading and building TiO 2 –Cu 2 O heterojunction. The Au in TiO 2 –Cu 2 O–Au nanorod array act as a light absorber extended the optical path, and the Cu 2 O promoted the separation of photogenerated electron–hole pairs. On the merits of such a synergistic effect, TiO 2 –Cu 2 O–Au nanorod array shows higher light-harvesting ability, lower carrier recombination rate, and resultant improved PEC performance than the contrast of TiO 2 , TiO 2 –Cu 2 O and TiO 2 –Au.

Background Meckel’s diverticulum and intestinal duplication malformations are two isolated digestive tract malformations in children. It is uncommon to see cases of both digestive tract malformations occurring at the same time. This report presents a rare case of Meckel’s diverticulum complicated with intestinal duplication, highlighting the importance of intraoperative exploration. Case presentation A 5-year-old Han Chinese boy presented with abdominal pain and vomiting. The patient had tenderness in the right lower quadrant of the abdomen. Preoperative imaging suggested Meckel’s diverticulum, but intraoperative exploration revealed both Meckel’s diverticulum and intestinal duplication. Surgical resection and anastomosis were performed, and histopathology confirmed the diagnosis. The patient was discharged 7 days after surgery. Conclusion Meckel’s diverticulum combined with intestinal duplication malformations is rare, and intraoperative exploration is essential in the diagnosis and treatment of surgical disease.

Subspecialty knowledge barriers have limited the adoption of large language models (LLMs) in oncology. We introduce Woollie, an open-source, oncology-specific LLM trained on real-world data from Memorial Sloan Kettering Cancer Center (MSK) across lung, breast, prostate, pancreatic, and colorectal cancers, with external validation using University of California, San Francisco (UCSF) data. Woollie surpasses ChatGPT in medical benchmarks and excels in eight non-medical benchmarks. Analyzing 39,319 radiology impression notes from 4002 patients, it achieved an overall area under the receiver operating characteristic curve (AUROC) of 0.97 for cancer progression prediction on MSK data, including a notable 0.98 AUROC for pancreatic cancer. On UCSF data, it achieved an overall AUROC of 0.88, excelling in lung cancer detection with an AUROC of 0.95. As the first oncology specific LLM validated across institutions, Woollie demonstrates high accuracy and consistency across cancer types, underscoring its potential to enhance cancer progression analysis.

High-sensitivity room-temperature multi-dimensional infrared (IR) detection is crucial for military and civilian purposes. Recently, the gapless electronic structures and unique optoelectrical properties have made the two-dimensional (2D) topological semimetals promising candidates for the realization of multifunctional optoelectronic devices. Here, we demonstrated the in-situ construction of high-performance 1T’-MoTe 2 /Ge Schottky junction device by inserting an ultrathin AlO x passivation layer. The good detection performance with an ultra-broadband detection wavelength range of up to 10.6 micron, an ultrafast response time of ~ 160 ns, and a large specific detectivity of over 10 9 Jones in mid-infrared (MIR) range surpasses that of most 2D materials-based IR sensors, approaching the performance of commercial IR photodiodes. The on-chip integrated device arrays with 64 functional detectors feature high-resolution imaging capability at room temperature. All these outstanding detection features have enabled the demonstration of position-sensitive detection applications. It demonstrates an exceptional position sensitivity of 14.9 mV/mm, an outstanding nonlinearity of 6.44%, and commendable trajectory tracking and optoelectronic demodulation capabilities. This study not only offers a promising route towards room-temperature MIR optoelectronic applications, but also demonstrates a great potential for application in optical sensing systems.

A ternary nanocomposite structure of TiO.sub.2-Cu.sub.2O-Au was successfully synthesized by the hydrothermal method to explore the light trapping mechanism of Au nanoparticles in photoelectrochemical water splitting. The photocurrent curve of TiO.sub.2-Cu.sub.2O-Au quickly arrived at saturation and increased to 1044 [mu]A/cm.sup.2 at 1.23 V (vs RHE), which was 10.4 times higher than the TiO.sub.2 only. This attributed to the positive synergistic effect of Au plasmon and TiO.sub.2-Cu.sub.2O heterojunction, in which Au act as a light absorber extended the optical path while Cu.sub.2O promoted the separation of photogenerated electron-hole pairs in semiconductors. These intriguing results expanded the comprehensive understanding of the plasmon-assisted photocatalyic reactions and gave a better manipulation in the design of efficient artificial photosynthesis systems.

Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture-based next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms. Targeted sequencing panels such as MSK-IMPACT have been successfully used to profile solid tumours in clinical settings. Here, the authors develop and implement the MSK-IMPACT Heme sequencing panel and platform to profile haematologic malignancies using paired tumor and normal tissues.

Breakthroughs brought about by two‐dimensional (2D) materials in the field of photodetection have opened up new possibilities in infrared imaging. However, challenges still exist in fabricating high‐density detector arrays using such materials, which are essential for traditional imaging systems. In this study, we present a state‐of‐the‐art computing imaging system that utilizes a MoTe 2 /Si self‐powered photodetector coupled with flexible Hadamard modulation algorithms. This system demonstrates remarkable capability to produce high‐quality images in the shortwave infrared (SWIR) band, surpassing the capabilities of devices based on alternative material systems. The exceptional infrared imaging capability primarily stems from the MoTe 2 /Si photodetector's inherent features, including an ultra‐wide spectral range (265–1550 nm) and extremely high sensitivity (linear dynamic range (LDR) up to 123 dB, responsivity ( R ) up to 0.33 A W –1 , external quantum efficiency (EQE) up to 43% and a specific detectivity ( D *) exceeding 2.9 × 10 11 Jones). Moreover, the imaging system demonstrates the ability to achieve high‐quality edge imaging of objects in the SWIR band (1550 nm), even in strong scattering environments and under low sampling rate conditions (sampling rate of 25%). We believe that this work will effectively advance the application scope of 2D materials in the field of computational imaging in SWIR bands. image

A cutting‐edge imaging system integrating a high‐performance MoTe2/Si photodetector with single‐pixel imaging (SPI) technology has been presented, achieving high signal‐to‐noise SWIR imaging image

Accurate diagnosis of hematologic malignancies from peripheral blood smears (PBSs) requires integrating cellular morphology and composition across numerous white blood cells. Existing computational approaches predominantly automate single-cell classifications and do not provide holistic, slide-level diagnostic predictions. We present a framework that employs a high-performance cell-based encoder (DeepHeme) for feature extraction, integrated with our weakly supervised, attention-based multiple instance learning (MIL) model, termed CAREMIL (Cell AggRegation, Explainable, Multiple Instance Learning). Through comprehensive evaluations of leading image encoders and MIL architectures, the combination of DeepHeme and CAREMIL demonstrated superior performance on disease classification tasks. CAREMIL functions as a robust aggregation mechanism, consistently outperforming established slide-level MIL methods (gated MIL and Dual-stream MIL Network) across multiple encoder types. The most pronounced performance gains were observed with out-of-domain encoders, including ImageNet-pretrained and open-source pathology foundation models (UNI2 and Virchow2). CAREMIL combined with DeepHeme achieves the highest diagnostic accuracy across acute myeloid leukemia (AML), myelodysplastic syndromes (MDS), and hairy cell leukemia (HCL), with AUROCs of 0.999, 0.891, and 0.945, respectively, and successfully identifies AML even in cases with minimal or absent circulating blasts. Attention values assigned by CAREMIL highlight diagnostically relevant cells and reveal disease-specific morphometric patterns, enabling biological interpretability and case-level insights. The framework remains resilient to individual cell misclassifications and does not require explicit cell-level supervision. These findings establish CAREMIL as an effective and interpretable MIL framework for hematologic slide diagnosis, extendable to bone marrow aspirates, cytology, and other liquid biopsy specimens, supporting a shift toward quantitative, morphology-informed hematologic diagnostics.