contentSlug

type

ContentSlug_ContentQuery

slug

ContentPageContentQuery

content

trendingContent

query ContentSlug_ContentQuery(
  $contentSlug: String!
  $type: [ContentType!]
) {
  ...ContentPageContentQuery_13QmVO
}

fragment CompanyDetails_Content on Content {
  __isContent: __typename
  companies {
    name
    description
    pageUrl
    id
  }
}

fragment ContentBasicInfo on Content {
  __isContent: __typename
  id
  type
  title
  lang
  companies {
    viewerIsFollowing
    id
    name
    pageUrl
  }
  tags {
    viewerIsFollowing
    id
    name
    pageUrl
  }
  ...PublishingDetails
  ...Reactions
}

fragment ContentMetadata on Content {
  __isContent: __typename
  type
  title
  lang
  pageUrl
  alternatePageUrls: translations {
    __typename
    pageUrl
    lang
  }
  imgUrl
  description
  ... on Video {
    liveTime
    videoUrl
  }
  ... on Webcast {
    liveTime
    videoUrl
  }
}

fragment ContentPageContentQuery_13QmVO on Query {
  content(slug: $contentSlug, type: $type) {
    __typename
    id
    type
    title
    isPremium
    lang
    htmlBody
    summary
    companies {
      forum {
        latestPosts {
          ...ForumPosts
        }
      }
      name
      id
      viewerIsFollowing
      pageUrl
      defaultInstrument {
        isin
        id
        marketOpen
        marketClose
        marketplace {
          region
        }
        returns {
          total
        }
      }
    }
    tags {
      viewerIsFollowing
      id
      name
      pageUrl
    }
    createdAt
    ... on Video {
      liveTime
    }
    ... on Webcast {
      liveTime
    }
    slug
    ... on CompanyReport {
      reportUrl
    }
    ... on ThirdPartyCompanyReport {
      reportUrl
    }
    ... on StockExchangeRelease {
      reportUrl
    }
    ...ContentBasicInfo
    ...ContentMetadata
    ...PriceAndRecommendation_Content
    ...CompanyDetails_Content
    ...ReportLink_Content
    ...KeyFigures_Content
  }
  ...TrendingContent_1jQ2Cn
}

fragment ForumPosts on ForumPost {
  text
  likesCount
  url
  author
  postedAt
  authorImgUrl
}

fragment KeyFigures_Content on Content {
  __isContent: __typename
  companies {
    defaultInstrument {
      estimateData {
        modelType
        reportingCurrency
      }
      snapshot {
        transaction {
          date
          actualized {
            year
            quarter
            revenue
            revenueGrowth
            ebitAdjusted
            ebitReported
            ebitda
            enterpriseValue
            epsAdjusted
            dividend
            dividendYield
            sharePrice
          }
          estimates {
            year
            quarter
            revenue
            revenueGrowth
            ebitAdjusted
            ebitReported
            ebitda
            enterpriseValue
            epsAdjusted
            dividend
            dividendYield
            sharePrice
          }
        }
      }
      id
    }
    id
  }
}

fragment PriceAndRecommendation_Content on Content {
  __isContent: __typename
  createdAt
  companies {
    name
    pageUrl
    defaultInstrument {
      priceData {
        tradeCurrency
      }
      snapshot {
        priceData {
          date
          lastPrice
          tradeCurrency
        }
        transaction {
          date
          recommendation
          targetPrice
        }
        prevTransaction {
          recommendation
        }
      }
      id
    }
    id
  }
}

fragment PublishingDetails on Content {
  __isContent: __typename
  createdAt
  publishers {
    name
    imgUrl
  }
  authors {
    __typename
    id
    name
    slug
    imgUrl
    jobTitle
  }
  ... on Video {
    liveTime
  }
  ... on Webcast {
    liveTime
  }
}

fragment Reactions on Content {
  __isContent: __typename
  id
  reactionGroups {
    reactionType
    reactionsCount
    viewerReacted
  }
}

fragment ReportLink_Content on Content {
  __isContent: __typename
  type
  isPremium
  ... on CompanyReport {
    reportUrl
  }
  ... on ThirdPartyCompanyReport {
    reportUrl
  }
  ... on StockExchangeRelease {
    reportUrl
  }
}

fragment TrendingContent_1jQ2Cn on Query {
  trendingContent(type: ARTICLE) {
    __typename
    id
    title
    lang
    pageUrl
    createdAt
    type
    imgUrl
    companies {
      squareLogoUrl
      name
      id
    }
    authors {
      __typename
      imgUrl
      id
    }
    publishers {
      imgUrl
    }
  }
}


sensodetect-ab-confirms-receipt-of-license-payments-and-announces-successful-installation-and-testing-of-ai-software-in-china

__typename

title

isPremium

lang

htmlBody

summary

companies

createdAt

publishers

authors

reactionGroups

pageUrl

translations

imgUrl

description

SensoDetect operates in the healthcare sector. The company specializes in developing medical equipment that is used to analyze how a patient's brain reacts to sound stimuli. The technology is used in psychiatry to distinguish potential mental illnesses. The product consists of electrodes that are attached to the patient's head and then analyze brain activity. The results are compared against a database for further analysis. SensoDetect was founded in 2005 and is headquartered in Lund.

SensoDetect

SensoDetect AB (Spotlight Stock Market: SDET) is pleased to confirm that all license payments from its joint venture, Beijing Mind Exploration Medical Technology Co., Ltd., have been received...

SensoDetect AB (Spotlight Stock Market: SDET) is pleased to confirm that all license payments from its joint venture, Beijing Mind Exploration Medical Technology Co., Ltd., have been received in full and on time. This marks another significant milestone in the collaboration and commercialization of SensoDetect's BERA 4.2 system and its next-generation AI-driven diagnostic platform in China.The company further announces that the AI software has now been successfully installed and activated within the joint venture's operational framework in Beijing. The first testing series has shown very promising results, confirming that the system can now perform the entire neurophysiological test in less than 5 minutes and 30 seconds, a substantial improvement in speed and efficiency.Even though the system processes an extremely large amount of neurophysiological data, the AI calculations can be completed in under 10 seconds - either locally on the device or through secure cloud computation. This represents a major technological leap forward, significantly improving scalability, accessibility, and reliability for both clinical and research use.<blockquote data-start="1542" data-end="1983">"We are very pleased to confirm that all financial commitments from our Chinese partners have been fulfilled in full and that the AI system is now live and performing beyond expectations," says Per-Anders Hedin, CEO of SensoDetect AB. "The early test results are highly encouraging and demonstrate the strength of our technology to redefine clinical diagnostics by making it faster, smarter, and more efficient than ever before."</blockquote>The AI module represents the next major evolution of SensoDetect's proprietary BERA (Brainstem Evoked Response Audiometry) technology, combining advanced signal processing with modern machine learning. With the system now operational, the joint venture will move forward with extended clinical validation, NMPA regulatory preparations, and scaling for production.This progress follows the recently completed initial investment round in the joint venture, strengthening both its financial and technological base for a large-scale launch in the Chinese market.<div></div>

SensoDetect AB Confirms receipt of license payments and announces successful installation and testing of AI software in China