2 Cents on Medicine2017-01-17T22:43:14+01:00

2 Cents on Medicine

Use of large language models in clinical research (part 2)

This is a follow-up on our previous blog entry on large language models (LLMs) and first experiences using the publicly available chatbots, based on LLMs. It is worth noting that during creation of this blog post, the AI technology already advanced and an upgraded version of model GPT- 3.5 (on which ChatGPT was based) has become available (GPT-4).

Use of large language models in clinical research (part 1)

The importance of artificial intelligence (AI) and its potential impact on the workforce has entered the limelight in the last weeks of the year 2022. News outlets and internet websites reported on a groundbreaking achievement in AI: the development of chatbots based on large language models (LLMs) that can be used by the general public in an intuitive, conversational and user-friendly manner

Clinical trials: increasing the visibility of research with visual abstracts

Communication of scientific results to the public is a very important part of research. The new EU CTR also requires that the results are communicated to the general public in a language understandable to lay persons. Furthermore, social media provides great dissemination channels for researchers to attract readers.

By |February 15th, 2023|Categories: 2 Cents on Medicine|Tags: , , , , |

Artificial Intelligence (AI) in clinical research: transformation of clinical trials and status quo of regulations

Artificial Intelligence (AI) supported technologies play a crucial role in clinical research: For example, during the COVID-19 pandemic the Biotech Company BenevolentAI found through a machine-learning approach that the kinase inhibitor Baricitinib, commonly used to treat arthritis, could also improve COVID-19 outcomes.

By |June 23rd, 2022|Categories: 2 Cents on Medicine|Tags: , , , , , , |

The course of a pandemic – epidemiological statistics in times of (describing) a crisis, pt. 2

A few weeks into the pandemic, the RKI switched its main reporting indicator from the absolute case numbers to the time dependent case reproduction number R(t). R(t) represents the number of unaffected persons that are infected by an index case.

The course of a pandemic – epidemiological statistics in times of (describing) a crisis, pt. 1

Throughout the current Corona pandemic, epidemiological statistics are widely used in everyday life to an unprecedented rate. Various media use different indicators for all kinds of purposes, be it the honest attempt to objectively communicate the risk associated with SARS-CoV-2, or in order to up- or downplay the mortality rates.

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