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STOP COVID-19　×　cutting-edge technologies Technology

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，计算机视觉，多媒体技术和机器学习。

AI，IoT物联网，RPA， OCR-AI ，ERP，cloud，bigdata，blockchain，ICT，5G，3D，AR， VR，iCLIP，

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IEEE,NIPS、ICML、COLT、CVPR、ICCV、ECCV、IJCAI、AAAI、UAI、KDD、SIGIR、WWW、ACL

、PAMI、IJCV、JMLR、AIJ的连续发表1000篇以上顶级学术论文. 人工智能竞赛获奖500次以上

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哈牛桥智能科技团队的特点是名校毕业，理工出身，管理精英，美国硅谷 美国哈佛 ，MIT，英国牛津剑桥，思路清晰。依赖科技创新性，先进管理，准入门槛高，建立网络效应、品牌效应、专利技术和规模效应，竞争是为失败者准备的，哈牛桥智能科技，能够做到别的公司根本无法做到的业务。确定哈牛桥智能科技的 CAC/LTV 比率（即付费市场营销的用户获取成本 / 用户终身价值比率）不断提高这个比率。建立哈牛桥智能科技的核心竞争力利基市场爆炸式增长，哈牛桥智能科技团队成功的合作10年以上经历团队，市场牵引力的盈利数据是上升的

技术公司设系统运行总部、技术开发总部、市场总部、规划部、综合管理部。系统运行总部，承担技术系统的验收、运行和监控，负责主机、网络、基础设施的维护与更新，及时处置系统突发异常，保障各类技术系统的安全运行，下设运行一部、运行二部、系统验收部、环境网络部。技术开发总部，负责统一实施上交所交易系统、业务管理系统及数据处理系统开发建设，下设技术基础架构部、竞价平台开发部、创新业务部、业务管理系统开发部、质量保障部、大数据开发部。市场总部，负责面向市场提供技术服务和创新产品服务，下设产品管理部、数据中心业务部、客户服务部、新产品服务部。规划部，承担技术总体规划，行业标准制定及发布，技术审计，整体安全策略等职能。综合管理部，统筹负责办公、人事、财务、法务、党务、纪检、采购、后勤等职能。

泽原形象工作室是哈牛桥智能科技的连锁AIVR一个计划并制作数字广告素材的创意工作室。同时开展AI美发美容设计，AI服装形象设计，AI家居设计，AI室内设计，AI建筑设计

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 HOC Intelligent Technology Nanjing Co., Ltd. The high-tech enterprise in the Jiangbei New Area Software Park in Nanjing is Harvard University, Oxford University, and Cambridge University. The leading research and development field in the academic field is more than 380. ERP consulting, artificial intelligence computer vision, natural language processing technology, Data Mining Advanced Data Analysis ，cross-media analysis and reasoning technology, intelligent adaptive learning technology, swarm intelligence technology, autonomous unmanned technology, smart chip technology, brain-computer interface technology and other high-tech cutting-edge technologies in security, Leading technologies in finance, retail, transportation, education, medical, manufacturing, health, etc.

JSAI artificial intelligence society full member, IEEE member, SIGIR member CAAI Chinese artificial intelligence society member, AAA1 international artificial intelligence society member. Member of ACM, ACM Commissioner of British Artificial Intelligence China. The main research areas include ERP consulting, cloud technology, big data, blockchain, artificial intelligence experts, computer vision, multimedia technology and machine learning. 1500467240@qq.com

AI, IoT, Internet of Things, RPA, OCR-AI, ERP, cloud, bigdata, blockchain, ICT, 5G, 3D, AR, VR, iCLIP, Aviation Design Software、core industrial software, smart chips, smart driving, core algorithms, neutrinos, quantum Top cutting-edge technologies such as computing artificial intelligence robots and automation systems, smartphones and cloud computing, and smart cities. For government / local government, education / medical / healthcare, finance, manufacturing, logistics, communications / broadcasting, construction / real estate, electricity / gas / water, networking, pharmaceuticals, agriculture, security, new retail, manufacturing, transportation , Sports, aerospace, advertising, IOT, ICT and other industries. AI reporter sports intelligent driving AI accounting lawyer AI surgery robot AI questioning misdiagnosis no AI robot funeral VR AR 3D AI crime tracking AI image recognition smart city, smart home, smart management, RPA, smart factory, smart logistics, AI real estate, AI marketing , AI agriculture and other social inclusive areas

 

IEEE, NIPS, ICML, COLT, CVPR, ICCV, ECCV, IJCAI, AAAI, UAI, KDD, SIGIR, WWW, ACL, PAMI, IJCV, JMLR, AIJ have continuously published more than 1,000 top academic papers. The artificial intelligence competition won 500 More than

Harbin Bridge Intelligent Technology and Microsoft, Microsoft Cambridge Research Institute, IBM, Samsung, H2o, Google, Intel, HP, Intel, Amazon, CAPCOM, Domo, Monota RO, Kubota Machinery, SCSK Co., Ltd., Kubota, Komatsu Machinery , Qingshui Building, Alibaba, Hang Seng Electronics, Yahoo, Tencent, Huawei, Facebook Paris Academy, SAP, oracle, salesforce, Liverpool UK and Li Ning Sports, Ali Sports, momenta, Super Sports XEBIO (슈퍼 스포츠) in Seoul, South Korea 제비 오) Sports goods physical store, TikTok (Douyin), NVIDIA, NTT, NTTDATA, SoftBank, Samsung DIDI Intelligent Driving, freee Corporation, ABeam Consulting Co., Ltd., Altloo, DeNA, Co., Ltd., TDK Co., Ltd., American Industrial Robot Intelligent Robot Boston Dynamics, Toshiba Information System Co., Ltd., Hitachi, NEC, TOYOD, Mitsubishi Group, Mitsui Group, TIS, KONAMI, PWC, Accenture Consulting, BearingPoint Consulting, Capgemini-Ernst & Young Consulting, Deloitte Consulting, IBM Consulting, sas, hao Op, matlab, Tableau Kobayashi system, Suning Group, JD TOYODA Honda Shangtang Technology (SenseTime) despised according to Figure Momenta, the fourth paradigm of the horizon, Qualcomm, Philips, Siemens, Sony, Intel, Canon and other famous companies have contracts. R & D Center Nanjing Headquarters, Hangzhou Headquarters, Shanghai Headquarters, Taizhou Branch, Lishui Branch, Suzhou Branch, etc., Global Japan, Britain, United States, South Korea. .

Welcome to the entrance to the world of acupuncture
Acupuncturist: a profession that will not disappear in the AI ​​era
With the development of AI (artificial intelligence), many existing occupations are expected to disappear. It is said that artificial intelligence has gradually entered the high-level intellectual professional fields such as finance and legal affairs, and has begun to serve people.

But what about acupuncture?

Acupuncture is a delicate and special technique that cannot be easily replaced by computers or machines. It can only be done manually. We often hear about their physical conditions from patients, consider the cause of the current symptoms, and select appropriate treatment points from 361 acupoints (acupoints) for acupuncture. This is a complex and delicate technique. It is impossible for robots. Even if it is possible, it will not be controlled by practitioners.

On the contrary, since it is surrounded by digital devices every day, do you think it needs the warmth, softness and safety of human hands? Acupuncture is a technology that is expected to become more valuable in the future AI era.

The WHO (World Health Organization) has also certified the therapeutic effects of acupuncture. Acupuncture therapy is good at treating symptoms that are difficult to improve by Western medicine, pain that has not been diagnosed as "discomfort" (discomfort) according to the examination results, and pain that cannot be completely cured. It is understandable that in recent years, the upsurge of Oriental medicine is coming, and it is said that this is a very stressful society. There is a growing demand for acupuncturists who can understand and treat patients' pain.

In addition, acupuncturists are long-term participants of men and women. This is not hard work, so even after aging, you can use the skills and intuition accumulated according to your physical strength to stand in the field of treatment. This is a lifelong job, you can improve your skills while you work, and cultivate opportunities for success while reaping rewards.
 

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makes machine learning operational by connecting models to the real-world decisions they inform. Often, AI/ML algorithms live in experimental vacuums. Foundry provides the end-to-end infrastructure an organization needs to apply AI/ML to real problems and real data:

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  • Production deployment infrastructure. revolutionizes the way organizations build and deploy AI/ML by combining a data foundation with end-to-end algorithm deployment infrastructure. Data scientists and engineers can customize, deploy, assess, and compare across homegrown, open-source, and third-party algorithms. All models are tightly integrated with end-to-end platform capabilities, ranging from feature curation and health checks to model management to inference/serving to outcome monitoring.

  • Faster feedback loops. AI/ML models rarely work on a "set it and forget it" basis.  integrates the full model lifecycle with end user actions and feedback, and with operational decisions and outcomes. This enables operationally oriented model monitoring, management, understanding, selection, and adjustment. The result is more adaptable and ambitious AI/ML, faster.

UNITE THE ORGANIZATION AROUND A SHARED ENVIRONMENT FOR MACHINE LEARNING.

The most effective AI/ML encodes and supercharges an organization's unique expertise. That requires uniting an organization's data scientists, decision-makers, and everyday employees in an environment for collaborating on AI/ML-powered operations.  collaboration infrastructure drives AI/ML that brings the organization together:

  • A unifying ontology. ontology translates an organization's complex data landscape into human-readable concepts. built models reflect how an organization views the world and unite data scientists, engineers, analysts, executives, and operational end users around a common semantic layer.

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Our approach to AI/ML in  reflects our foundational belief in augmenting human intelligence, not replacing it. We believe AI/ML algorithms are most effective when they empower humans to ask complex questions, interpret answers, and act on results. At public and private sector organizations around the world, driven AI/ML is accelerating human decision-making by:

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I see our approach to ethical machine learning as being grounded in an appreciation for both the promise and limitations of human-computer collaboration. The promise of AI is in augmenting and enhancing human intelligence, expertise and experience. Think helping a aircraft mechanic make better, more accurate and more timely repairs – not automating the mechanic out of the picture.

— Anthony Bak, Co-Lead of Palantir's Machine Learning team, in an interview with CTOVision

Protecting privacy and preserving civil liberties is fundamental to our mission.ships with technical capabilities that enable ethical engineering and ethical machine learning, including data protection features such as granular access controls, data provenance and lineage tracking, data retention and deletion management, and audit logging.  also enables industry-leading monitoring and validation for AI models. Its flexible, configurable tools let organizations evaluate model bias, in terms of both the data used to train the model and model outcomes.

We recognize that technology alone can't fully mitigate the risks of machine bias. Our dedicated Privacy and Civil Liberties team works with our engineers and our customers to approach building and deploying AI/ML thoughtfully.

Acupuncture significantly reduces AI-associated arthralgias

Publish date: December 8, 2017

By 

Roxanne Nelson

 

 

 

REPORTING FROM SABCS 2017

SAN ANTONIO – Acupuncture significantly reduced joint pain that was associated with the use of aromatase inhibitors (AIs) in women with early breast cancer, according to new findings reported at the San Antonio Breast Cancer Symposium.

The randomized, phase 3 SWOG S1200 clinical trial found that, compared with sham acupuncture and a control group receiving no therapy, women receiving acupuncture reported significantly lower scores on the Brief Pain Inventory–Short Form (BPI).

“We have shown consistently, with multiple measures assessing pain and stiffness, that true acupuncture generated better outcomes than either control group in a large multicenter trial,” said lead author Dawn L. Hershman, MD, leader of the Breast Cancer Program at the Herbert Irving Comprehensive Cancer Center at NewYork-Presbyterian/Columbia University Medical Center. “Acupuncture provides a nonpharmacologic option that can improve symptoms and possibly increase AI adherence and subsequent breast cancer outcomes.”

AIs can reduce both early breast cancer recurrence and mortality. Dr. Hershman noted that these agents are effective in the adjuvant setting and for prevention “but we know that it doesn’t work if you don’t take it. Noncompliance is a major problem among women taking hormonal therapy.”

Noncompliance is multifactorial and one of the main reasons women discontinue their therapy early is because of arthralgias or joint discomfort. “We were interested in a nonpharmacologic intervention, to assess whether or not we could control these symptoms.”

Dr. Hershman pointed out acupuncture provides a safe and effective alternative for patients reluctant to take a prescription medication that can result in other side effects. “Identification of nonopioid options for pain control is a public health priority,” she said.

Acupuncture is a popular nonpharmacologic modality and widely used for a number of indications. Several single-institution studies have suggested that it may be useful for controlling AI-associated arthralgias, while other studies have not demonstrated a benefit.

In this trial, the authors evaluated the efficacy of acupuncture, compared with sham acupuncture or waitlist control, in the treatment of AI associated arthralgia in a large population of patients. The study was conducted at 11 centers.

The cohort comprised 226 postmenopausal women diagnosed with early-stage, hormone receptor–positive breast cancer who were receiving treatment with AIs. The primary endpoint was the decline in joint pain as measured by BPI-SF at 6 weeks, and to assess the duration of the effect, the women were followed for an additional 12 weeks.

Within this group, 110 were randomized to true acupuncture; 59 to sham acupuncture, and 57 to waitlist control (no treatment). Patients receiving true or sham acupuncture had sessions three times a week for 6 weeks followed by one session per week for 6 more weeks. Pain status was reported at baseline, during treatment, and then afterwards, using a variety of measurement tools including the BPI-SF, which is a self-administered 14-item questionnaire that evaluates pain severity on a 0-10 scale, and the impact of pain on activities of daily living.

At 6 weeks, the true acupuncture treatment arm reported significantly lower BPI worst pain scores than those in the sham acupuncture and the waitlist control arms. The mean BPI worst pain for the true acupuncture arm was 0.92 points lower than the sham acupuncture arm (P = .01) and 0.96 points lower than the waitlist control arm (P = .01). The proportion of patients experiencing a large reduction in BPI worst pain (greater than 2) was significantly greater in the true acupuncture arm, compared with the other groups: 58% versus 33% percent and 31%, respectively. The differences continued to remain statistically significant at 24 weeks, even though the treatment only continued for 12 weeks.

Associated adverse effects were minimal with true and sham acupuncture and limited to grade 1 bruising.

The cost of the 12-week intervention was about $1,250 or $65-$75 a session. “We feel that there is now sufficient evidence to support insurance coverage of acupuncture of AI arthralgia.”

In a discussion of the paper, Dr. Anne Partridge, from the Dana Farber Cancer Center, noted that it is imperative to seek new ways to improve outcomes in breast cancer, and AIs are contributing to that. However, she echoed the concern that nonadherence to treatment is a “tremendous problem” and hampers the clinical effectiveness of AI therapy.

The rate of discontinuation during the first year of therapy is 20% within the first year and up to 40% of patients do not take them daily. Both early discontinuation and nonadherence contribute to mortality.

Based on these results from the largest randomized controlled trial looking at acupuncture in this setting, should physicians be recommending acupuncture to patients prescribed AI therapy?

“The short answer is, why not?” said Dr. Partridge, “And that we should be recommending it for some of our patients.”

However, there are a number of issues that need to be addressed, she added. The duration of treatment is not known, and the need for follow-up treatment or the frequency of it is not known. The generalizability of it is also unclear when looking at a larger population, and acupuncture is highly operator dependent.

“There are cost and access issues, and insurance right now offers very limited coverage,” she said.

Importantly, Dr. Partridge emphasized, “We know that it will help symptoms, but will it improve adherence to AI?”

It may improve adherence for some patients, but “side effects are only one factor,” she said. “Adherence behavior is complicated. We need to figure out how to optimize these therapies in our patients.”

This study was supported by the National Institutes of Health National Center for Complementary and Integrative Health and the Office of Research on Women’s Health, and grants from the NIH/National Cancer Institute Division of Cancer Prevention. Dr. Hershman declared no conflicts of interest. Dr. Partridge had no disclosures.

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Illumina, Chinese Children's Hospital to Launch Newborn Sequencing Study

Apr 23, 2019

 

| 

staff reporter

 

NEW YORK (GenomeWeb) – Illumina and the Children's Hospital of Fudan University in China plan to launch a study of whole-genome sequencing in the hospital's neonatal intensive care unit to determine whether it can be used as a diagnostic for critically ill infants, Illumina said this week.

According to Illumina, the researchers plan to enroll 200 patients and compare the diagnostic rate of rapid WGS with genetic diagnostic methods such as microarray analysis and gene panel sequencing.

The researchers will also compare the time it takes to reach a diagnosis, impact on the patient's prognosis, and turnaround time.

Illumina will provide the sequencing reagents and the Children's Hospital of Fudan University will conduct the testing and data analysis and also be responsible for reporting results and providing genetic consultations with family members.

The hospital is also a sponsor of the Newborn Genome Project, which is creating a genome database for newborns in China in order to develop better methods for detecting genetic diseases in newborns and to establish standards for neonatal genetic diseases.

UK Study Details Liquid Biopsy's Ability to Guide Metastatic Breast Cancer Treatment

Dec 13, 2019

 

| 

staff reporter

 

NEW YORK – Researchers from the Institute of Cancer Research, London and the Royal Marsden NHS Foundation Trust have presented data demonstrating that blood-based genotyping assays can accurately detect specific biomarkers and potentially be used to guide targeted treatment of metastatic breast cancer. 

The researchers used Guardant Health's liquid biopsy assay and Bio-Rad Technologies' droplet digital PCR (ddPCR) testing to identify errors — including mutations in the HER2, ESR1 and AKT1 genes — in circulating tumor DNA (ctDNA) that had been shed into the patients' bloodstream. 

During a presentation this week at the San Antonio Breast Cancer Symposium (SABCS), Nicholas Turner, molecular oncology professor at the Institute of Cancer Research, explained that his team wanted to solve the issue of genotyping breast cancer tumors without having to perform multiple biopsies. Turner highlighted the need for prospective studies to assess the accuracy of ctDNA testing in routine practice and the potential of these tools to guide targeted therapy without requiring solid tissue testing. 

With funding from Stand Up To Cancer (a fundraising campaign from Cancer Research UK and Channel 4) Turner's team therefore launched an ongoing prospective study, called "plasmaMATCH," to examine the clinical utility of ctDNA for metastatic breast cancer detection. The group enrolled a total of 1,044 patients with advanced breast cancer who had either progressed on prior drug therapy or relapsed within a year after adjuvant chemotherapy. 

The researchers analyzed ctDNA in blood samples from patients using the Guardant360 sequencing-based assay and Bio-Rad's ddPCR as an orthogonal method. Patients with identified mutations could also enroll in a treatment arm of the study that matched their mutation. 

Turner and his team split the patient population into three major cohorts depending on specific genetic errors found in ctDNA: ESR1 mutations, HER2 mutations, and AKT-1 mutations in estrogen-receptor-positive breast cancer. The researchers also added a fourth cohort that had AKT-1 and PTEN mutations based on both ctDNA and tumor sequencing results, as well as a fifth group with triple-negative breast cancer without mutations. 

While Turner's team's initially aimed to measure the response rate of targeted therapies matched to mutations in ctDNA without tissue testing, the researchers also monitored the frequency of mutations, accuracy of testing, proportion of patients entering a treatment cohort, and the activity in clonality-dominant versus subclonal mutations. Turner's team discovered that 784 patients who had cfDNA testing done with both Guardant360 and ddPCR had "very strong agreement" of between 96 and 99 percent. Comparing the ctDNA to the patients' tumor samples to validate the plasmaMATCH findings, the researchers found that the liquid biopsy assay had an overall sensitivity of 93 percent. 

Guardant360 also identified several more targetable alterations than hotspot testing, including over 35 percent more PIK3CA mutations that can be targeted by US Food and Drug Administration-approved therapies. The assay also detected significantly more ESR1 mutations and found previously undetected microsatellite instability and ERBB2 mutations.   

The researchers provided 142 patients that had specific identified mutations experimental targeted therapies as part of the study, and they plan to test the treatments that showed initial promise in larger clinical trials. 

The researchers now believe that they can use blood testing to identify rare subtypes of breast cancer, in addition to potentially replacing more invasive methods of breast cancer detection. 

"We have now confirmed that blood tests can quickly give us a bigger picture of the mutations [that] are present within multiple tumors throughout the study," Turner said in a statement.  

"We show that circulating tumor DNA testing offers a simple, efficient, and fast method of tumor genotyping," Turner also noted during the presentation at SABCS. "The patients with mutations identified in their ctDNA have efficacy with matching target[ed] therapies." 

The researchers believe the blood-based assays are now reliable enough to be applied routinely by clinicians after receiving regulatory approval.

"As the number of treatment-relevant genomic alterations in metastatic breast cancer continues to grow, it is critical that oncologists have a simple and reliable way to comprehensively test for this information about their patients," Guardant Health Global Chief Medical Officer Rick Lanman said in a statement. "Guardant360 detected changes in the genome picture over time … and also identifies targetable but uncommon genomic biomarkers."

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