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2.
Science ; 362(6412): 347-350, 2018 10 19.
Article in English | MEDLINE | ID: mdl-30337410

ABSTRACT

Although combining data from multiple entities could power life-saving breakthroughs, open sharing of pharmacological data is generally not viable because of data privacy and intellectual property concerns. To this end, we leverage modern cryptographic tools to introduce a computational protocol for securely training a predictive model of drug-target interactions (DTIs) on a pooled dataset that overcomes barriers to data sharing by provably ensuring the confidentiality of all underlying drugs, targets, and observed interactions. Our protocol runs within days on a real dataset of more than 1 million interactions and is more accurate than state-of-the-art DTI prediction methods. Using our protocol, we discover previously unidentified DTIs that we experimentally validated via targeted assays. Our work lays a foundation for more effective and cooperative biomedical research.


Subject(s)
Confidentiality , Databases, Pharmaceutical/legislation & jurisprudence , Drug Delivery Systems , Information Dissemination/legislation & jurisprudence , Information Dissemination/methods , Pharmacology/legislation & jurisprudence , Computer Simulation , Humans
3.
Article in German | MEDLINE | ID: mdl-28702715

ABSTRACT

The European Medicines Agency (EMA) is developing a web-based EU portal with a database "at Union level as a single entry point for the submission of data and information relating to clinical trials in accordance with" the new EU regulation No. 536/2014. The specifications are mostly published, but some documents are still missing. Because the project is integrated and has dependencies on other projects, this could result in other specification upgrades. The IT solution is under ongoing development until project completion in quarter III of 2019. The EU Portal and the database will be audited. If the audit is successful, the new regulation will come into force in October 2018. The use of the EU Portal will then be mandatory with some transition rules. The software development of the portal is restricted to the regulation and the derived requirements. It is not possible to implement any national requirements. We describe in this paper the current key functionalities of the portal and try to derive requirements for a national IT system.On 16.06.2017 the EMA Management Board announced that the development of the new portal has been delayed and it is foreseen that the new regulation can come into effect in 2019 at the earliest. The press release can be found here: http://www.ema.europa.eu/ema/index.jsp?curl=pages/news_and_events/news/2017/06/news_detail_002764.jsp%26mid=WC0b01ac058004d5c1 (accessed: 12.07.2017).


Subject(s)
Clinical Trials as Topic/legislation & jurisprudence , Data Collection/legislation & jurisprudence , Databases, Pharmaceutical/legislation & jurisprudence , European Union , Pharmaceutical Preparations/standards , Germany , Humans , Software Design
4.
Rev. panam. salud pública ; 36(4): 270-276, oct. 2014. tab
Article in Spanish | LILACS | ID: lil-733227

ABSTRACT

Desde finales de la década de los años noventa, el número de muertes por sobredosis que involucran analgésicos opioides se ha cuadriplicado en los Estados Unidos de América (de 4 030 muertes en 1999 a 16 651 en 2010). Los objetivos de este artículo son proporcionar una visión general del problema de sobredosis de medicamentos de prescripción en los Estados Unidos y discutir las acciones que podrían ayudar a reducir el problema, abordando en forma directa las características de los Programas de monitoreo de medicamentos de prescripción (PDMP). Estos programas están compuestos de bases de datos a nivel estatal que vigilan las sustancias controladas. La información recopilada en las bases de datos está a disposición de las personas autorizadas por el Estado (por ejemplo, los médicos, los farmacéuticos y otros proveedores de cuidado médico) y debe ser utilizada solo con propósitos profesionales. Los proveedores pueden utilizar dicha información para evitar la interacción con otros medicamentos, la duplicación terapéutica o la identificación de conductas de búsqueda de drogas. Las agencias del orden público pueden utilizar estos programas para identificar patrones de prescripción inadecuada, dispensación o desviación.


Since the late 1990s, the number of opioid analgesic overdose deaths has quadrupled in the United States of America (from 4 030 deaths in 1999 to 16 651 in 2010). The objectives of this article are to provide an overview of the problem of prescription drug overdose in the United States and to discuss actions that could help reduce the problem, with particular attention to the characteristics of prescription drug monitoring programs (PDMPs). These programs consist of state-level databases that monitor controlled substances. The information compiled in the databases is at the disposal of authorized persons (e.g., physicians, pharmacists, and other health-care providers) and may be used only for professional purposes. Suppliers can use such information to prevent interaction with other drugs or therapeutic duplication, or to identify drug-search behavior. Law enforcement agencies can use these programs to identify improper drug prescription or dispensing patterns, or drug diversion.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Controlled Substances/adverse effects , Drug and Narcotic Control/organization & administration , Prescription Drugs , Analgesics, Opioid/poisoning , Analgesics, Opioid/therapeutic use , Controlled Substances/supply & distribution , Databases, Pharmaceutical/legislation & jurisprudence , Drug Overdose/mortality , Drug Overdose/prevention & control , Drug Prescriptions/statistics & numerical data , Drug Utilization , Drug and Narcotic Control/legislation & jurisprudence , Drug and Narcotic Control/methods , Drug and Narcotic Control/trends , Inappropriate Prescribing/prevention & control , Inappropriate Prescribing/statistics & numerical data , Prescription Drug Diversion/prevention & control , Prescription Drugs/adverse effects , Prescription Drugs/therapeutic use , Risk Factors , Risk-Taking , Substance-Related Disorders/epidemiology , Substance-Related Disorders/prevention & control , United States
5.
Rev Panam Salud Publica ; 36(4): 270-6, 2014 Oct.
Article in Spanish | MEDLINE | ID: mdl-25563153

ABSTRACT

Since the late 1990s, the number of opioid analgesic overdose deaths has quadrupled in the United States of America (from 4 030 deaths in 1999 to 16 651 in 2010). The objectives of this article are to provide an overview of the problem of prescription drug overdose in the United States and to discuss actions that could help reduce the problem, with particular attention to the characteristics of prescription drug monitoring programs (PDMPs). These programs consist of state-level databases that monitor controlled substances. The information compiled in the databases is at the disposal of authorized persons (e.g., physicians, pharmacists, and other health-care providers) and may be used only for professional purposes. Suppliers can use such information to prevent interaction with other drugs or therapeutic duplication, or to identify drug-search behavior. Law enforcement agencies can use these programs to identify improper drug prescription or dispensing patterns, or drug diversion.


Subject(s)
Controlled Substances/adverse effects , Drug and Narcotic Control/organization & administration , Prescription Drugs , Adult , Aged , Analgesics, Opioid/poisoning , Analgesics, Opioid/therapeutic use , Controlled Substances/supply & distribution , Databases, Pharmaceutical/legislation & jurisprudence , Drug Overdose/mortality , Drug Overdose/prevention & control , Drug Prescriptions/statistics & numerical data , Drug Utilization , Drug and Narcotic Control/legislation & jurisprudence , Drug and Narcotic Control/methods , Drug and Narcotic Control/trends , Female , Humans , Inappropriate Prescribing/prevention & control , Inappropriate Prescribing/statistics & numerical data , Male , Middle Aged , Prescription Drug Diversion/prevention & control , Prescription Drugs/adverse effects , Prescription Drugs/therapeutic use , Risk Factors , Risk-Taking , Substance-Related Disorders/epidemiology , Substance-Related Disorders/prevention & control , United States
6.
Article in German | MEDLINE | ID: mdl-23807401

ABSTRACT

According to § 23 paragraph 4 of the German Infection Prevention Act (IfSG; July 2011), hospitals and clinics for ambulatory surgery are obliged to establish a continuous monitoring system of antibiotic consumption. This is aimed at contributing to an optimization of antibiotic prescription practices in order to confine the development and spread of resistant pathogens. The general requirements (restricted to hospitals) on the method and extent of data collection are provided by the national public health institution after discussion with representatives of various professional societies (Robert Koch-Institut, Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 59, 2013). The article aims to clarify these specifications and to provide background details. In agreement with national and European surveillance systems, the Anatomical Therapeutic Chemical (ATC)/Defined Daily Dose (DDD) classification system recommended by the WHO should be used as reference standard. Antibiotic consumption should be expressed as the number of DDDs per 100 patient days and per 100 admissions. The categories of antimicrobials and hospital organizational units to be monitored and the time intervals in which analyses should be conducted are determined. Furthermore, various approaches of data assessment are described.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Databases, Pharmaceutical/statistics & numerical data , Drug Utilization/legislation & jurisprudence , Drug Utilization/statistics & numerical data , Hospitalization/statistics & numerical data , Information Storage and Retrieval/statistics & numerical data , Patient Admission/statistics & numerical data , Databases, Pharmaceutical/legislation & jurisprudence , Germany , Hospitalization/legislation & jurisprudence , Information Storage and Retrieval/legislation & jurisprudence , Patient Admission/legislation & jurisprudence
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