JP2018530069A - 生体情報を安全に転送するための方法、装置、およびシステム - Google Patents
生体情報を安全に転送するための方法、装置、およびシステム Download PDFInfo
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Abstract
Description
1)サービス提供業者からオンラインでサンプル採取キットを注文する;
2)キットを受け取り、生体サンプル(通常だ液)を採取する。この段階で、顧客は、検査結果と共に分析されるアンケートに記入するように頼まれることもある;
3)郵便でサンプルをサービス提供業者に送る;その後、サンプルは熟練の研究所のスタッフによって、例えば、様々な遺伝子分析アッセイを用いて処理される;そして
4)4−8週間後、顧客には、例えばDNA中の様々な変種を表記している一般的な分析報告書が、電子的に送られるか、または郵送で送られる。
場合によっては、サービス提供業者は製品の推薦を行なうか、またはクライアントの検査結果に従って設計されたか、選択された特注の製品を提案してもよい。
1)誰が生体サンプルを分析するのか、ならびに、その分析が、どのように及びどこで行われるのか;
2)遺伝子情報または健康情報が、どのように及びどこに保管されるか、または安全に廃棄されるか;
3)遺伝子プロファイルまたは健康プロファイルにリンクされた顧客の個人情報はどうするのか;
5)顧客の健康情報に誰がアクセスできるか(特にその情報が遺伝子情報と同じくらい個人的な物であるとき);
6)多くの場合において、分析報告書の公表前に、顧客は、病歴、ライフスタイル習慣等に関するアンケートを埋めるように頼まれるが、そのような情報の共有によって別のレベルの懸念が増すこととなる。
1 − キットをオンラインで注文する;
2 − 自身の糞便を採取する;
3 − 研究所へサンプルを郵送する;
4 − 数週間待つ。
− 血液中のアルコール濃度
− 癌の早期発見
− 感染症
− 喘息の層別化
− 腸管前処置
− 過敏性腸症候群
− ラクトース消化不良症および不耐性
− マイクロバイオーム、例えば、ヘリコバクターピロリ菌(Helicobacter pylori)の分析
− カイロミクロンレムナントの代謝
− など。
a)コンピューティングデバイスと;
b)コンピューティングデバイスが接続される通信ネットワークと;
c)コンピューティングデバイスに対して遠方の、通信ネットワークを介してコンピューティングデバイスと接続されたセキュアなサーバーと;
d)コンピューティングデバイスに接続されたテストキットと;
を含み、そのテストキットはさらに、コンピューティングデバイスからのユーザーに対する1つ以上の関心領域の識別情報に基づいたセキュアなサーバーによって同定された、1つ以上のバイオマーカーを含み;そこで、テストキットは、生体サンプルを受け、その生体サンプルに基づいた検査結果を生成することができ;そのセキュアなサーバーは、コンピューティングデバイスから通信ネットワークを介してそのセキュアなサーバーに送信された検査結果に基づいた分析を生成することができる。
・「私の体はどのようにカフェインを新陳代謝する?」
・「私のための最善のビタミン剤は何?」
・「私が喫煙を辞めるのに役立つ最善の処置は何?」
・「私の体は、どれくらい速く怪我から回復する?」等。
ステップ(100):ユーザーが、テストキットプラグアンドプレイプラットフォームを購入し、生体サンプルを適用し、コンピュータまたはモバイルデバイスを介してインターネットに接続する。
ステップ(200):顧客の遺伝子学的フィルタコードが、THE PRIMER SHOP(登録商標)ポータルに送信される。
ステップ(300):遺伝的素因が測定される。
ステップ(400):製品が、顧客の遺伝子学的フィルタコードに従ってマッピングされる。
ステップ(500):製品の推薦が、THE PRIMER SHOP(登録商標)ポータルで探索され、顧客の遺伝子学的フィルタコードに対応付けられる。
ステップ(600):製品の推薦が顧客に送信される。
ステップ(700):顧客が、自身が好む製品を選択し、購入の手続きをする。
ステップ(100)からステップ(700)は、安全なサーバーのリンクを介して、秘密鍵と公開鍵システムの暗号化を用いることにより実行される。
製品バーコードをスキャンするようなバーコードスキャナ(例えばCMOS撮像装置(CMOS imager))。
読み取られたバーコードを記憶するランダムアクセスメモリ。
関連する個別化された結果、すなわち製品の推薦を備える全ての製品バーコードのリストを含むバーコードメモリ(データベース)。
(ローカル処理の場合でのユーザーの遺伝子情報(遺伝子型判定検査結果、例えばTPSコード)を記憶するメモリ。)
ユーザーの後成的なデータによって、例えば、ユーザーの生活様式および食事の変化が原因のユーザーの生理機能の変化を確認することができることは知られている。ある時間間隔でユーザーの後成的なテストを行なうことによって、製品の推薦は変更/改善されてもよい。例えば、後成的なデータは、ある製品を購入することまたは購入しないことが、ユーザーのポジティブな健康上の利益を結果として生じさせていることを、製品購入に関して収集されたデータと組み合わせて示すこともある。このことは、製品の推薦を更新するときにシステムによって考慮されることもあり、例えば、ユーザーが予め高脂肪の製品を消費することが勧められなかった場合に、この製品の推薦は、一部の制限された消費が現在それほど有害ではないことをユーザーに示すように合図することもある。
ここで、システムをリストバンドなどのウェアラブルデバイスへと組み込む提案によって、生化学的、および生理学的/環境データなどの検知されたデータを使用することが可能になる。特に、そのデバイスは、着用者の心拍数をモニタリングするように構成されてもよく、従って着用者がカロリーを燃やす心拍数を測定してもよい。この検知されたデータは、短期間、中期間、または長期間のうちのいずれかでの製品の推薦を修正するために使用されうる。例えば、そのシステムが、着用者がたった今、身体的に極めて活動的であったと検知する場合、高い糖度を含む飲料が推薦されてもよい。その後、その飲料の推薦は長期間の値に戻る。
スクリーン上をタップすること(例えば、スキャンされた製品を選ぶシングルタップ、および製品を採用することを拒絶するダブルタップ);
スクリーン上で指をスワップ(Swapping)すること;および
スキャナカメラを、例えば指/手を上げることによって遮ること。
”The Breath Test That Diagnoses Diabetes” Wall Street Daily, published Thu, Jan 29, 2015, Martin Denholm, Managing Editor http://www.wallstreetdaily.com/2015/01/29/diabetes−acetone−breath−test/
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The application of FAIMS gas analysis in medical diagnostics, J. A. Covington, M. P. van der Schee, A. S. L. Edge, B. Boyle, R. S. Savage, R. P. Arasaradnam, Analyst, 2015
A simple breath test for tuberculosis using ion mobility: A pilot study, A. S. Sahota, R. Gowda, R. P. Arasaradnam, E. Daulton, R. S. Savage, J. R. Skinner, E. Adams, S. A. Ward, J. A. Covington, Tuberculosis, 2016
Detection of Colorectal Cancer (CRC) by Urinary Volatile Organic Compound Analysis, Ramesh P. Arasaradnam, Michael J. McFarlane, Courtenay Ryan−Fisher, Erik Westenbrink, Paula Hodges, Matthew G. Thomas, Samantha Chambers, Nicola O’Connell, Catherine Bailey, Christopher Harmston, Chuka U. Nwokolo, Karna D. Bardhan, James A. Covington, Plos One, 2014. Issue 9 | e108750
Towards the non−invasive detection of colorectal cancer: The role of electronic noses (E−nose) and Field Asymmetric Ion Mobility Spectroscopy (FAIMS), Westenbrink E, Arasaradnam RP, O’Connell N, Bayley C, Nwokolo C, Harmston C, Bardhan KD, Covington J.
A novel tool for non invasive diagnosis and tracking of patients with Inflammatory Bowel Disease (IBD), Arasaradnam RP (MD, PhD), Ouaret N (MSc), Thomas MG (MSc), Quraishi N (MD), Heatherington E (RN), Nwokolo CU (MD, DM), Bardhan KD (MD, PhD), Covington JA (MSc, PhD).
Application of a Novel Tool for Diagnosing Bile Acid Diarrhoea, James A. Covington, Eric W. Westenbrink, Nathalie Ouaret, Ruth Harbord, Catherine Bailey, Nicola O’Connell, James Cullis, Nigel Williams, Chuka U. Nwokolo, Karna D. Bardhan, Ramesh P. Arasaradnam, Sensors, 2013. 13(9), 11899−11912
Differentiating Coeliac Disease from Irritable Bowel Syndrome by Urinary Volatile Organic Compound Analysis * A Pilot Study, Ramesh P. Arasaradnam, Eric Westenbrink, Michael J. McFarlane, Ruth Harbord, Samantha Chambers, Nicola O’Connell, Catherine Bailey, Chuka U. Nwokolo, Karna D. Bardhan, Richard Savage, James A. Covington, Plos One, 2014. Issue 10 | e107312
Review article: next generation diagnostic modalities in gastroenterology * gas phase volatile compound biomarker detection, R. P. Arasaradnam, J. A. Covington, C. Harmston, C. U. Nwokolo, Wiley Online Library, 2014. Issue 8
The Detection of Patients at Risk of Gastrointestinal Toxicity during Pelvic Radiotherapy by Electronic Nose and FAIMS: A Pilot Study, James A. Covington, Linda Wedlake, Jervoise Andreyev, Nathalie Ouaret, Matthew G. Thomas, Chuka U. Nwokolo, Karna D. Bardhan, Ramesh P. Arasaradnam, Sensors, 2012. 12, 13002−13018
Towards the detection of bile acid diarrhoea: A novel non−invasive approach using electronic noses (E−nose) and Field Asymmetric Ion Mobility Spectroscopy (FAIMS), Westenbrink E, Arasaradnam RP, Thomas M, O’Connell N, Bayley C, Nwokolo C, Bardhan KD, Covington J.
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Determination of a Urinary Drug Metabolite using Liquid Chromatography Combined with FAIMS−MS and FAIMS−In Source CID−MS, Robert W. Smith, Danielle E. Toutoungi, James C. Reynolds, Ashley Sage, Anthony W.T. Bristow, Andrew Ray, Daniel J. Weston, Ian Wilson, Billy Boyle, Colin S. Creaser.
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Rapid, Accurate and on−site detection of C. difficile in Stool Samples, Marije K. Bomers, Frederik P. Menke, Richard S. Savage, Christina M.J.E. Vandenbroucke−Grauls, Michiel A. van Agtmael, James A. Covington, Yvo M. Smulders. Am J Gastroenterol 2015; 110:588−594; doi: 10.1038/ajg.2015.90
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Supervised Machine Learning and Field Asymmetric Ion Mobility Spectrometry Brian Azizi & Georgios Pilikos, University of Cambridge
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Liquid Extraction Surface Analysis Mass Spectrometry Coupled with Field Asymmetric Waveform Ion Mobility Spectrometry for Analysis of Intact Proteins from Biological Substrates, Joscelyn Sarsby, Rian L. Griffiths, Alan M. Race, Josephine Bunch, Elizabeth C. Randall, Andrew J. Creese, and Helen J. Cooper. Analytical Chemistry 2015.
Breathomics − exhaled volatile organic compound analysis to detect hepatic encephalopathy: a pilot study, R P Arasaradnam,M McFarlane, K Ling, S Wurie, N O’Connell, C U Nwokolo, K D Bardhan, J Skinner, R S Savage and J A Covington. Journal of Breath Research, 2016.
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Claims (27)
- 生体サンプルに関する検査結果の分析をユーザーに提供する方法であって、該方法は:
前記生体サンプルの検査を実施するのに適しているテストキットを選択する工程、または作成する工程であって、該テストキットは、ユーザーに対する1つ以上の関心領域のための1つ以上のバイオマーカーを含み、ユーザーにテストキットを提供する、工程と;
前記生物学的マーカー(複数可)に依存する検査結果を生成するために、生体サンプルをテストキットに適用する工程と;
生体サンプルをテストキットに適用する前、間、または後のいずれかにおいて、ユーザーのコンピュータデバイスにテストキットを連結し、そのコンピュータデバイスから、インターネットまたは別の適切なネットワークを介して、遠方のセキュアなサーバサイトに検査結果を送信する工程と;
セキュアなサーバサイトにおいて、データの分析を生成するために検査結果を処理する工程と;
サーバサイトから、ユーザーのコンピュータデバイス、または別のデバイスへ、インターネットまたは別の適切なネットワークを介して、その分析を送信する工程と;
を含むことを特徴とする、方法。 - 前記1つ以上の関心領域の各々は、ライフスタイル領域、製品かサービス、もしくは複数の製品かサービス、製品の成分、または製品かサービスのカテゴリーのうちの1つである、請求項1に記載の方法。
- ユーザーから、もしくはそのユーザーによって局所的に抽出されたサンプルから、または遠隔的に抽出されたサンプルを貯蔵している容器から、生体サンプルを得る工程を含む、請求項1または2に記載の方法。
- 前記テストキットは、アドレス指定可能な検査部位の多彩性を有するテストモジュールを含み、そのテストモジュールの各々が、検査部位に位置することもあるバイオマーカーのための検査を独立して実行可能であり、その同定された前記バイオマーカーまたは、各同定された前記バイオマーカーは、検査部位において提供される、請求項1から3のいずれ1つに記載の方法。
- 該方法は、前記検査結果と共に同定されたバイオマーカー(複数可)が提供される検査部位のアドレスを送信する工程を含み、セキュアなサーバサイトにおいて、関連する検査部位のアドレスを使用してバイオマーカーを同定する工程を含む、請求項4に記載の方法。
- 該方法は、バイオマーカーが送信されたデータ単独では同定不可能であるような方法である、請求項5に記載の方法。
- 前記分析は、1つ以上の生物学的フィルタコードを含む、請求項1から6のいずれか1つに記載の方法。
- 前記生物学的フィルタコードは、それぞれの製品、サービス、または製品もしくはサービスのカテゴリーにマッピングされるが、ユーザーの生体情報を明確には特定しない、請求項7に記載の方法。
- 該方法は、ブラウザプラグインを前記コンピュータデバイスのウェブブラウザにインストールする工程を含み、そのブラウザプラグインは、前記分析に基づいて、ブラウザウインドウに表示される製品情報および/またはサービス情報をブラウザがフィルタリングすることを容易にする、請求項1から8のいずれか1つに記載の方法。
- 該方法は、製品情報および/もしくはサービス情報か、またはアプリケーションによるアドバイスの提供のフィルタリングを容易にするために、分析の全て、および一部を、コンピュータデバイスにインストールされるアプリケーションに対して利用可能にする工程を含む、請求項1から9のいずれか1つに記載の方法。
- 該アプリケーションは、コンピュータデバイスによって、製品またはサービスのラベルから読み取られる製品情報および/またはサービス情報を取得するように構成されてもよい、請求項10に記載の方法。
- 前記分析は、1つの製品もしくはサービス、または様々な製品もしくはサービスの識別情報を含む、請求項1から11のいずれか1つに記載の方法。
- バイオマーカー(複数可)を同定するデータは、ユーザーデバイスまたは他のデバイスに提供されない、または記憶されない、請求項1から12のいずれか1つに記載の方法。
- 遠方のセキュアなサーバサイトにユーザーの公開鍵を提供する一方で、ユーザーデバイスまたは他のデバイスにユーザーの1対の公開鍵−秘密鍵を提供する工程を含み、該方法は、ユーザーの公開鍵を用いて遠方のセキュアなサーバサイトにおいて前記分析を暗号化する工程と、ユーザーデバイスまたは他のデバイスで前記分析を受信した上でユーザーの秘密鍵を使用して解読する工程を含む、請求項1から13のいずれか1つに記載の方法。
- そのバイオマーカーまたは、各バイオマーカーは、DNA合成に使用するのに適しているプライマーである、請求項1から14のいずれか1つに記載の方法。
- 前記テストキットは、イオン感応電界効果トランジスタのアレイを含む、請求項1から15のいずれか1つに記載の方法。
- 前記生体サンプルの検査を実施するのに適したテストキットを選択する、または作成する工程の前に:
ユーザーコンピュータからウェブポータルを介してユーザーに対する1つ以上の関心領域の識別情報を受信する工程と;
遠方のセキュアなサーバサイトにおいて、その関心領域または各関心領域に関連する1つ以上のバイオマーカーを同定する工程と;
を含む、請求項1から16いずれか1つに記載の方法。 - ユーザーに製品のアドバイスを提供する方法であって、該方法は:
コンピュータデバイスを使用して、製品ラベル上のデータを読み取る工程と;
デバイスに記憶された生物学データを使用してデータを解釈する工程であって、その生物学データはユーザーに関係し、かつユーザーから得られる生体サンプルの分析を用いて予め得られる、工程と;
その解釈に基づいて、製品に関するアドバイスをデバイスのディスプレイに提示する工程であって、そのアドバイスは個人に適合されている、工程と;
を含むことを特徴とする、方法。 - 生体サンプルはユーザーのマイクロバイオームに由来する、請求項1から18のいずれか1つに記載の方法。
- コンピュータデバイスはウェアラブルデバイスである、請求項1から19のいずれか1つに記載の方法。
- ウェアラブルデバイスはスマートフォンである、請求項19に記載の方法。
- ウェアラブルデバイスであって、該ウェアラブルデバイスは:
製品コードのデータベースおよび、個別化された生体情報に由来する関連する製品の推薦を記憶するメモリと;
製品から製品コードを読み取るための製品コード読み取り機と;
関連する製品に関する製品の推薦を得るようにデータベース内の検索を行うように、読み取られた製品コードを使用するためのプロセッサと;
得られた製品の推薦の指標を、デバイスの着用者に提供するためのインジケータと;
を含むことを特徴とする、ウェアラブルデバイス。 - ウェアラブルデバイスはスマートフォンである、請求項21に記載のウェアラブルデバイス。
- テストキットをウェアラブルデバイスに接続するためのインターフェースを含む、請求項22または請求項23に記載のウェアラブルデバイス。
- 遠方のセキュアなサーバーに検査結果を送信するための送信機と;
遠方のセキュアなサーバーから検査結果の分析を受信するための受信器と;
をさらに含む、請求項22から24のいずれか1つに記載のウェアラブルデバイス。 - 着用者の遺伝子情報をモニタリングするための1つ以上の生理学的センサおよび/もしくは生体認証センサ、ならびに/またはバイオセンサと、検知データを使用して動的にデータベース内の製品の推薦を更新するためのプロセッサと、を含む請求項22から25のいずれか1つに記載のウェアラブルデバイス。
- 製品またはサービスのオンライン購入を行う方法であって、該方法は、ユーザーコンピュータデバイスにおいて:
1つ以上の生物学的フィルタコードを記憶する工程であって、その生物学的フィルタコードは、それぞれの製品、サービス、または製品もしくはサービスのカテゴリーにマッピングされるが、ユーザーの生体情報を明確に特定しない、工程と;
ウェブポータルから、入手可能な製品またはサービスデータを検索するために、ユーザーコンピュータデバイスにインストールされたウェブブラウザまたはアプリケーションを使用する工程と;
ユーザーの遺伝子型またはマイクロバイオームに適する入手可能な製品またはサービスを特定するためにフィルタコードを使用する工程と;
ディスプレイ、またはユーザーのコンピュータデバイスの他のユーザーインターフェースを介して、ユーザーに対する適切な製品またはサービスを特定する工程と;
を含むことを特徴とする、方法。
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CN113870961A (zh) | 2021-12-31 |
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US20200227151A1 (en) | 2020-07-16 |
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CN107111685A (zh) | 2017-08-29 |
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