Bioinformatics Barcelona Association (BIB), February, 6th - 2018

The Big Data Day

From Utopia to Reality aims to be a space open to BIB partners in which to discuss various aspects related to the Big Data. We will have three well-known professionals from the field of Big Data that will show the reality of the field, what success contributions Big Data is having for the promotion of industrial competitiveness, as well as the need for trained professionals to face the challenges of Big Data.

Link to the presentation

Speech at IL3 (UB), November, 28th - 2017

From local serialization to global traceability: finding answers in the cloud.

The traceability of devices by means of a Unique Device Identification system (UDI system) based on international guidance should significantly enhance the effectiveness of the post-market safety-related activities for devices.
Transparency and adequate access to information, appropriately presented for the intended user, are essential in the public interest, to protect health, to empower patients and healthcare professionals and to enable then to make informed decisions, to provide a sound basis for regulatory decision-making and to build confidence in the regulatory system.

Regulation (EU) 2017/45 of the European Parliament of the Council of 5 April 2017

BioPhorum Development Group 21. Brussels, 17th - 19th October 2017

Speech in the BioPhorum Development Group 21. Brussels, 17th - 19th October 2017

Advanced Analytics on the Cloud: How to manage the big data under the Data Integrity perspective.

The different Smart Industry Maturity Levels are presented under the big data and cloud technologies:

• Monitoring: Traditional and basic level. Telemetry, SCADA,…
• Remote control and management: Bidirectional communications
• Efficiency, Productivity, Quality & Security Optimization: Optimization, Preventive maintenance, Fraud detection in spare parts replacements, unauthorized maintenances.
• Smart Automation: IIoT, Digital Twin, M2M
• Operational Data Spaces: MaaS, Equipment + Customer Operational Data in the cloud (advanced logbook), EOM Custom Solutions

Getting a new periodic table of elements using AI

White paper

The periodic table of elements is an atomic organisation based on two axis. The horizontal axis establishes an increasing order based on the atomic number (number of protons) of each element. The vertical arrangement is managed by the electronic configuration and presents a taxonomic structure designed by the electrons of their latest layer . Furthermore, four main blocks arrange the atoms by similar properties (gases, metals, nonmetals, metalloids).

Additionally to the number of protons and the electronic configuration, the atoms are characterised by other attributes that are not ascendant nor cyclic in the periodic table of elements. The values of these properties constitute a sample of numbers that represent different atomic magnitudes that distinguish in some how the chemical elements. In this experiment some of these chemical and physical dimensions have been involved in the training of a set of machine learning algorithms to obtain representative clusters of each element.

White paper published in:

• Data Science Foundation
• Data Science Central
• Data Science Association

Speech in the European Prefilled Syringes, Berlin, 7th of September 2017

Advanced Analytics on the Cloud: How to manage the big data under the Data Integrity perspective.

ACI’s European Prefilled Syringes Summit will explore the advancements in regulatory guidelines, product development, manufacturing processes, risk mitigation , portfolio management and answer some infinite industry questions such as; how the industry is responding to disruptive technology, connectivity, speed to market, and next generation syringes. There are several elements that pose a severe challenge to the growth of the global prefilled syringes market, the primary one being the high costs associated with temperature controlled packaging required for temperature-sensitive drugs. Other more traditional factors inhibiting the market include product recalls due to breakages and leachables, the potential risk of interaction between prefilled syringes and drugs, and needle stick prevention.
The main topics about how to start introducing Advanced Analytics tools on the Cloud are:

• AI/ML/big data in life‐sciences ‐ big data becoming a big topic
• Drivers of change
• Opportunities for AI/ML/data
• What are barriers? What are issues that are likely to impede uptake or experimentation?
• Challenges implement new tech & Best practice: evolution of processes, culture and capabilities
• How to start?

Speech in the ExpoFYBI 2017:

Industria 4.0 + Innovación = Un desafío para la Industria Farmacéutica

Sociedad Argentina de Farmacia y Bioquímica Industrial

¿Cómo se obtiene un proceso de fabricación robusto? Una respuesta teórica consideraría todas las variables involucradas, así como las constantes que determinan el sistema para establecer las ecuaciones de estado dinámico que caracterizan el proceso. Sin embargo, las leyes de la Física y la Ingeniería obligan a realizar aproximaciones debido a que no siempre se disponen de ecuaciones que

permitan una modelización exacta del proceso. Para añadir más dificultad a la respuesta, es importante recordar que la ciencia y la tecnología no avanzan al unísono. Tomar datos en tiempo real de todas las variables que deben ser tenidas en cuenta para aplicar el modelo teórico, resulta una tarea ardua si no imposible, debido a que la multitud de fuentes de información suelen no estar integradas.

Moderating the Big Data track in the PDA European Summit. Berlin, 12 - 14, June 2017

Sessions driven by:

• Sašo Jezernik, Ph.D. Solutions & Innovation Director at Altran

Digitalization & Innovation in Drug Delivery Systems
The IoT technologies are able to objectivize the diseases acquiring for instance vital signs. When AI is applied to these measures, a new medicine arises.

• Wim De Bruyn

Internet of Things for Predictive Analytics
The Shannon limit is the maximum amount of information that a system can manage. When we talk about devices we have to be realistic: their capacity is limited. What happens when the smart devices delegate the power of the information processes to the cloud? Which is the Shannon limit of the cloud?