While machine learning (ML) has made significant contributions to the biopharmaceutical field, its applications are still in the early stages in terms of providing direct support for quality-by-design based development and manufacturing of biopharmaceuticals, hindering the enormous potential for bioprocesses automation from their development to manufacturing. However, the adoption of ML-based models instead of conventional multivariate data analysis methods is significantly increasing due to the accumulation of large-scale production data. This trend is primarily driven by the real-time monitoring of process variables and quality attributes of biopharmaceutical products through the implementation of advanced process analytical technologies. Given the complexity and multidimensionality of a bioproduct design, bioprocess development, and product manufacturing data, ML-based approaches are increasingly being employed to achieve accurate, flexible, and high-performing predictive models to address the problems of analytics, monitoring, and control within the biopharma field. This paper aims to provide a comprehensive review of the current applications of ML solutions in a bioproduct design, monitoring, control, and optimisation of upstream, downstream, and product formulation processes. Finally, this paper thoroughly discusses the main challenges related to the bioprocesses themselves, process data, and the use of machine learning models in biopharmaceutical process development and manufacturing. Moreover, it offers further insights into the adoption of innovative machine learning methods and novel trends in the development of new digital biopharma solutions.

THE current pandemic has shown the oil and gas sector how dependable enterprise operations can be upended almost overnight. Work force routines at extraction sites and refineries have been disrupted, causing unplanned outages, as we saw at the Sharara oilfield. With supply chains interrupted, parts manufactured in traditional source markets could not be delivered on time, delaying essential maintenance. Border closures and an unprecedented drop in demand have further constricted already tight economic operations. Not only do these conditions look set to continue over the short term, but other challenges loom over the foreseeable future.

Military officials say no civilians appear to be injured in the strike. A U.S. drone strike killed a "high ranking" official in the Al Qaeda in the Islamic Maghreb terror cell in Libya on Saturday, the Pentagon disclosed Wednesday. Musa Abu Dawud was one of two AQIM terrorists killed in the airstrike in southwest Libya near the city of Ubari in the Sahara desert. "Dawud trained AQIM recruits in Libya for attack operations in the region. He provided critical logistics support, funding and weapons to AQIM, enabling the terrorist group to threaten and attack U.S. and Western interests in the region," U.S. military's Africa Command said in a statement.