Fine localization of lung segment coordinates
3D reconstruction imaging was used to accurately locate pulmonary nodules before surgery.
What is pulmonary nodule coordinate positioning?
Through the use of 3D reconstruction imaging technology, the position of pulmonary nodules can be accurately located before surgery, and whether there is variation and misalignment of target bronchus and blood vessels can be determined, effectively improving the safety and accuracy of surgery and shortening the operation time. Lung anatomy is complex and individual differences are large, can be described as "thousands of lungs", coupled with the ever-changing size and location of each patient's nodules, to the minimally invasive surgery to accurately remove lung lesions has brought great difficulties. Pulmonary nodule coordinate positioning technology is a tool to help the surgical operation more minimally invasive, more accurate, and retain more lung function!

Methylated blood test
Noninvasive liquid biopsy combined with CT imaging AI to identify benign and malignant pulmonary nodules.
Product advantage
Noninvasive
Only 10 ML of peripheral blood and imaging CT-DICOM data were collected.
Profession
The findings were published in the Journal of Clinical Investigation (2022 IF=15.9), The L ancet Digital Health (2022 IF=30.8); PulmoSeekTM received CE Mark certification and China Expert Consensus on Early Lung Cancer Diagnosis (2023 edition) "Recommended; The benchmark has been IS013485:2016 international certification.
Brain Power
NGS methylation detection intelligent analysis + image Al intelligent diagnosis to ensure stable product performance.
Innovate
National invention patent to ensure accurate detection, AnchorIRIS library construction technology related invention patent: methylated DNA detection method [Patent number: ZL.20170063335.1], DNA ligase mediated DNA amplification technology [Patent No. : 201710206888.8].

Pulmonary nodules 3D in-depth analysis service
Three-dimensional modeling analysis
Compared with the two-dimensional plain scan image, the 3D modeled nodule will reveal more morphological details and the relationship with the surrounding vascular tissue, which is easy for algorithms and experts to judge.
Visual quantitative analysis
The three-dimensional nodules were compared with the characteristics of 1.6 million malignant nodules in the database to ensure that each subtle malignant feature was adequately quantified and evaluated.
Rate of change analysis
Nodule changes reveal a lot of information, but it is difficult to identify the naked eye, and it is difficult to accurately incorporate it into the evaluation model in the daily clinical practice, our AA model is better to solve the problem.
Temporal memory network
The prediction of the progression of malignant nodules, such as how long it will take to reach micro-infiltration, is the key to setting the review frequency. Our LSATM algorithm accurately recommends the review frequency based on massive training cases.
Pulmonary nodules 3D in-depth analysis service
Service content
Cancer screening with 3-D reconstruction technique
Nodular detection result
Action recommendations and testing programs
3D imaging depth analysis of nodules
Applicable population
≤30 mm patients with single or multiple nodules are anxious, hesitant about surgery, difficult to judge the nature of nodules, and not suitable for people who are not willing to do puncture
Pulmonary nodule reexamination population
Product advantage
1、Authoritative major
Management verification methods were selected into the screening guidelines, and clinical verification was applied in a number of first-class hospitals
2、Mass data analysis
It has a database of 1.6 million CT cases, and AI is compared with the database one by one to ensure detection accuracy
3、Non-invasive safety
There is no need to draw blood, just provide CT-DICOM data
4、Comprehensive analysis
The nodules were evaluated comprehensively regardless of lesion location, age and sex

Organoid individualized drug sensitivity detection
Efficient and accurate screening of anti-tumor therapeutic drugs clinical testing services to assist clinicians to develop precision drug treatment plans for patients.
What is organoid drug sensitivity detection technology?
Tumor organoid drug susceptibility detection technology refers to the effect evaluation of multiple drug regimens on patient-derived tumor organoids, and the clinical drug regimens that are more suitable for the individualized treatment of tumor patients are selected after the clinical judgment of doctors.
Tumor organoids are 3D miniature tumors cultured in vitro using tumor cells of tumor patients themselves, and are in vitro 3D models directly derived from tumor tissues of patients. It has been proved to be highly consistent with the histopathological characteristics, molecular characteristics and drug sensitivity of patients' tumors. It is called the "in vitro drug substitute" for cancer patients.
Tumor treatment is ever-changing, and the effectiveness of drugs for different patients is often different. In vitro drug sensitivity detection of tumor organoids can truly "substitute drug testing and precise drug selection" for patients, and achieve greater clinical benefits for tumor patients.

Individualized survival prediction Risk prediction for lung cancer
Accurate prediction of survival of patients with lung cancer after surgery is helpful for medical staff, patients and their families to comprehensively and objectively understand the survival of patients, which can be used to guide the auxiliary treatment and management of patients, and provide scientific basis for medical decision-making. The traditional method is to stratify the management of patients by tumor stage, but there are great differences in the survival assessment of patients with different stages or the same stage.