Results 151 to 160 of about 54,785 (276)

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

A case study showing the role of hydrophobicity variants and other enriched mAb proteoforms on filterability through a virus filter with productivity improvement measures

Biotechnology Progress, EarlyView.
Abstract A rapid assessment of manufacturability for drug candidates is crucial for advancing a prospective biotherapeutic from a candidate to a bulk drug substance. A lot‐to‐lot approach to manufacturability is adopted where each biologic batch is assessed for manufacturability as a bulk, unfractionated pool.
Solomon Isu, Derek Silva, Melissa Holstein, Angela Lewandowski, Kristina Cunningham, Adam Sokolnicki, Bala Raghunath   +6 more
wiley   +1 more source

Enhancing short-packet communications: BLER performance in RIS-assisted ambient backscatter NOMA systems. [PDF]

PLoS One
Phu LS, Nguyen TN, Minh BV, Tin PT, Voznak M.   +4 more
europepmc   +1 more source

In Vivo Cytoskeletal AMPA Receptor Transport Imaging in C. elegans

Cytoskeleton, EarlyView.
ABSTRACT Long‐distance intracellular transport of ionotropic glutamate receptors (iGluRs) is essential for proper excitatory synaptic function underlying learning and memory. Many neuropsychiatric and neurodegenerative conditions have abnormal iGluR transport and trafficking, leading to an intense interest in the mechanisms and factors regulating these
Michaelis A. K., Hoerndli F. J.
wiley   +1 more source

On the Performance of Energy Harvesting Dual-Hop Free-Space Optical Communication Systems with Secrecy Analysis. [PDF]

Sensors (Basel)
Ibrahim AA, Ata SÖ, Durak-Ata L.
europepmc   +1 more source

A New Strategy to Design Reconfigurable Rivest–Shamir–Adleman (RSA) Accelerators

International Journal of Circuit Theory and Applications, EarlyView.
A reconfigurable FPGA‐based RSA accelerator is proposed using compression‐based modular multipliers combined with pseudomoduli arithmetic. The approach maps modular exponentiation to low‐cost arithmetic domains and applies a correction stage, achieving significant improvements in delay, operating frequency, and delay–area efficiency compared with ...
Augusto C. B. Vassoler, Gabriel B. M. Fernandes, Lucas R. Kieslich, Eduardo A. Bezerra, Hector Pettenghi   +4 more
wiley   +1 more source

IBS-ECDHE: A blockchain-enhanced lightweight protocol for secure cloud-IoT in biomedical HCPS. [PDF]

Comput Struct Biotechnol J
Rehman AU, Lu S, Usman M, Moqurrab SA, Srivastava G, Yoo J, Al-Aqrabi H.   +6 more
europepmc   +1 more source

Interpretation of in vitro concentration‐response data for risk assessment and regulatory decision‐making: Report from the 2022 IWGT quantitative analysis expert working group meeting

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Quantitative risk assessments of chemicals are routinely performed using in vivo data from rodents; however, there is growing recognition that non‐animal approaches can be human‐relevant alternatives. There is an urgent need to build confidence in non‐animal alternatives given the international support to reduce the use of animals in toxicity ...
Marc A. Beal, Guangchao Chen, Kerry L. Dearfield, Min Gi, Bhaskar Gollapudi, Robert H. Heflich, Katsuyoshi Horibata, Alexandra S. Long, David P. Lovell, Barbara L. Parsons, Stefan Pfuhler, John Wills, Andreas Zeller, George Johnson, Paul A. White   +14 more
wiley   +1 more source

Dynamic power and frequency domain allocation for dedicated sensing signals in downlink ISAC. [PDF]

Sci Rep
Aman M, Rehman GU, Zubair M, Alharbey R, Daud A, Khan SU.   +5 more
europepmc   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade, Ram Narayan Yadav, James O Ijiwade, Ojima Z. Wada   +3 more
wiley   +1 more source